{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 卷积神经网络（Convolutional Neural Network, CNN）\n",
    "\n",
    "## 项目：实现一个狗品种识别算法App\n",
    "\n",
    "在这个notebook文件中，有些模板代码已经提供给你，但你还需要实现更多的功能来完成这个项目。除非有明确要求，你无须修改任何已给出的代码。以**'(练习)'**开始的标题表示接下来的代码部分中有你需要实现的功能。这些部分都配有详细的指导，需要实现的部分也会在注释中以'TODO'标出。请仔细阅读所有的提示。\n",
    "\n",
    "除了实现代码外，你还**需要**回答一些与项目及代码相关的问题。每个需要回答的问题都会以 **'问题 X'** 标记。请仔细阅读每个问题，并且在问题后的 **'回答'** 部分写出完整的答案。我们将根据 你对问题的回答 和 撰写代码实现的功能 来对你提交的项目进行评分。\n",
    "\n",
    ">**提示：**Code 和 Markdown 区域可通过 **Shift + Enter** 快捷键运行。此外，Markdown可以通过双击进入编辑模式。\n",
    "\n",
    "项目中显示为_选做_的部分可以帮助你的项目脱颖而出，而不是仅仅达到通过的最低要求。如果你决定追求更高的挑战，请在此 notebook 中完成_选做_部分的代码。\n",
    "\n",
    "---\n",
    "\n",
    "### 让我们开始吧\n",
    "在这个notebook中，你将迈出第一步，来开发可以作为移动端或 Web应用程序一部分的算法。在这个项目的最后，你的程序将能够把用户提供的任何一个图像作为输入。如果可以从图像中检测到一只狗，它会输出对狗品种的预测。如果图像中是一个人脸，它会预测一个与其最相似的狗的种类。下面这张图展示了完成项目后可能的输出结果。（……实际上我们希望每个学生的输出结果不相同！）\n",
    "\n",
    "![Sample Dog Output](images/sample_dog_output.png)\n",
    "\n",
    "在现实世界中，你需要拼凑一系列的模型来完成不同的任务；举个例子，用来预测狗种类的算法会与预测人类的算法不同。在做项目的过程中，你可能会遇到不少失败的预测，因为并不存在完美的算法和模型。你最终提交的不完美的解决方案也一定会给你带来一个有趣的学习经验！\n",
    "\n",
    "### 项目内容\n",
    "\n",
    "我们将这个notebook分为不同的步骤，你可以使用下面的链接来浏览此notebook。\n",
    "\n",
    "* [Step 0](#step0): 导入数据集\n",
    "* [Step 1](#step1): 检测人脸\n",
    "* [Step 2](#step2): 检测狗狗\n",
    "* [Step 3](#step3): 从头创建一个CNN来分类狗品种\n",
    "* [Step 4](#step4): 使用一个CNN来区分狗的品种(使用迁移学习)\n",
    "* [Step 5](#step5): 建立一个CNN来分类狗的品种（使用迁移学习）\n",
    "* [Step 6](#step6): 完成你的算法\n",
    "* [Step 7](#step7): 测试你的算法\n",
    "\n",
    "在该项目中包含了如下的问题：\n",
    "\n",
    "* [问题 1](#question1)\n",
    "* [问题 2](#question2)\n",
    "* [问题 3](#question3)\n",
    "* [问题 4](#question4)\n",
    "* [问题 5](#question5)\n",
    "* [问题 6](#question6)\n",
    "* [问题 7](#question7)\n",
    "* [问题 8](#question8)\n",
    "* [问题 9](#question9)\n",
    "* [问题 10](#question10)\n",
    "* [问题 11](#question11)\n",
    "\n",
    "\n",
    "---\n",
    "<a id='step0'></a>\n",
    "## 步骤 0: 导入数据集\n",
    "\n",
    "### 导入狗数据集\n",
    "在下方的代码单元（cell）中，我们导入了一个狗图像的数据集。我们使用 scikit-learn 库中的 `load_files` 函数来获取一些变量：\n",
    "- `train_files`, `valid_files`, `test_files` - 包含图像的文件路径的numpy数组\n",
    "- `train_targets`, `valid_targets`, `test_targets` - 包含独热编码分类标签的numpy数组\n",
    "- `dog_names` - 由字符串构成的与标签相对应的狗的种类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 133 total dog categories.\n",
      "There are 8351 total dog images.\n",
      "\n",
      "There are 6680 training dog images.\n",
      "There are 835 validation dog images.\n",
      "There are 836 test dog images.\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import load_files       \n",
    "from keras.utils import np_utils\n",
    "import numpy as np\n",
    "from glob import glob\n",
    "\n",
    "# 定义函数来加载train，test和validation数据集\n",
    "def load_dataset(path):\n",
    "    data = load_files(path)\n",
    "    dog_files = np.array(data['filenames'])\n",
    "    dog_targets = np_utils.to_categorical(np.array(data['target']), 133)\n",
    "    return dog_files, dog_targets\n",
    "\n",
    "# 加载train，test和validation数据集\n",
    "train_files, train_targets = load_dataset('dogImages/train')\n",
    "valid_files, valid_targets = load_dataset('dogImages/valid')\n",
    "test_files, test_targets = load_dataset('dogImages/test')\n",
    "\n",
    "# 加载狗品种列表\n",
    "dog_names = [item[20:-1] for item in sorted(glob(\"dogImages/train/*/\"))]\n",
    "\n",
    "# 打印数据统计描述\n",
    "print('There are %d total dog categories.' % len(dog_names))\n",
    "print('There are %s total dog images.\\n' % len(np.hstack([train_files, valid_files, test_files])))\n",
    "print('There are %d training dog images.' % len(train_files))\n",
    "print('There are %d validation dog images.' % len(valid_files))\n",
    "print('There are %d test dog images.'% len(test_files))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入人脸数据集\n",
    "\n",
    "在下方的代码单元中，我们导入人脸图像数据集，文件所在路径存储在名为 `human_files` 的 numpy 数组。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 13233 total human images.\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "random.seed(8675309)\n",
    "\n",
    "# 加载打乱后的人脸数据集的文件名\n",
    "human_files = np.array(glob(\"lfw/*/*\"))\n",
    "random.shuffle(human_files)\n",
    "\n",
    "# 打印数据集的数据量\n",
    "print('There are %d total human images.' % len(human_files))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step1'></a>\n",
    "## 步骤1：检测人脸\n",
    " \n",
    "我们将使用 OpenCV 中的 [Haar feature-based cascade classifiers](http://docs.opencv.org/trunk/d7/d8b/tutorial_py_face_detection.html) 来检测图像中的人脸。OpenCV 提供了很多预训练的人脸检测模型，它们以XML文件保存在 [github](https://github.com/opencv/opencv/tree/master/data/haarcascades)。我们已经下载了其中一个检测模型，并且把它存储在 `haarcascades` 的目录中。\n",
    "\n",
    "在如下代码单元中，我们将演示如何使用这个检测模型在样本图像中找到人脸。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of faces detected: 1\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2                \n",
    "import matplotlib.pyplot as plt                        \n",
    "%matplotlib inline                               \n",
    "\n",
    "# 提取预训练的人脸检测模型\n",
    "face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_alt.xml')\n",
    "\n",
    "# 加载彩色（通道顺序为BGR）图像\n",
    "img = cv2.imread(human_files[3])\n",
    "\n",
    "# 将BGR图像进行灰度处理\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 在图像中找出脸\n",
    "faces = face_cascade.detectMultiScale(gray)\n",
    "\n",
    "# 打印图像中检测到的脸的个数\n",
    "print('Number of faces detected:', len(faces))\n",
    "\n",
    "# 获取每一个所检测到的脸的识别框\n",
    "for (x,y,w,h) in faces:\n",
    "    # 在人脸图像中绘制出识别框\n",
    "    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n",
    "    \n",
    "# 将BGR图像转变为RGB图像以打印\n",
    "cv_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "# 展示含有识别框的图像\n",
    "plt.imshow(cv_rgb)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在使用任何一个检测模型之前，将图像转换为灰度图是常用过程。`detectMultiScale` 函数使用储存在 `face_cascade` 中的的数据，对输入的灰度图像进行分类。\n",
    "\n",
    "在上方的代码中，`faces` 以 numpy 数组的形式，保存了识别到的面部信息。它其中每一行表示一个被检测到的脸，该数据包括如下四个信息：前两个元素  `x`、`y` 代表识别框左上角的 x 和 y 坐标（参照上图，注意 y 坐标的方向和我们默认的方向不同）；后两个元素代表识别框在 x 和 y 轴两个方向延伸的长度 `w` 和 `d`。 \n",
    "\n",
    "### 写一个人脸识别器\n",
    "\n",
    "我们可以将这个程序封装为一个函数。该函数的输入为人脸图像的**路径**，当图像中包含人脸时，该函数返回 `True`，反之返回 `False`。该函数定义如下所示。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 如果img_path路径表示的图像检测到了脸，返回\"True\" \n",
    "def face_detector(img_path):\n",
    "    img = cv2.imread(img_path)\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_cascade.detectMultiScale(gray)\n",
    "    return len(faces) > 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **【练习】** 评估人脸检测模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "---\n",
    "\n",
    "<a id='question1'></a>\n",
    "### __问题 1:__ \n",
    "\n",
    "在下方的代码块中，使用 `face_detector` 函数，计算：\n",
    "\n",
    "- `human_files` 的前100张图像中，能够检测到**人脸**的图像占比多少？\n",
    "- `dog_files` 的前100张图像中，能够检测到**人脸**的图像占比多少？\n",
    "\n",
    "理想情况下，人图像中检测到人脸的概率应当为100%，而狗图像中检测到人脸的概率应该为0%。你会发现我们的算法并非完美，但结果仍然是可以接受的。我们从每个数据集中提取前100个图像的文件路径，并将它们存储在`human_files_short`和`dog_files_short`中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "97 % human images can be detected\n",
      "12 % dog images can be detected\n"
     ]
    }
   ],
   "source": [
    "human_files_short = human_files[:100]\n",
    "dog_files_short = train_files[:100]\n",
    "## 请不要修改上方代码\n",
    "\n",
    "count_human_True = 0\n",
    "count_dog_True = 0\n",
    "for human_img in human_files_short:\n",
    "    if face_detector(human_img):\n",
    "        count_human_True += 1\n",
    "for dog_img in dog_files_short:\n",
    "    if face_detector(dog_img):\n",
    "        count_dog_True += 1\n",
    "print(\"%s %% human images can be detected\" % count_human_True)\n",
    "print(\"%s %% dog images can be detected\" % count_dog_True)\n",
    "## TODO: 基于human_files_short和dog_files_short\n",
    "## 中的图像测试face_detector的表现"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='question2'></a>\n",
    "\n",
    "### __问题 2:__ \n",
    "\n",
    "就算法而言，该算法成功与否的关键在于，用户能否提供含有清晰面部特征的人脸图像。\n",
    "那么你认为，这样的要求在实际使用中对用户合理吗？如果你觉得不合理，你能否想到一个方法，即使图像中并没有清晰的面部特征，也能够检测到人脸？\n",
    "\n",
    "__回答:__\n",
    "需求用户提供清晰面部特征的人脸图像并不合理，简单举例夜晚安防摄像头拍摄的人脸图像由于环境原因照片基本难以保证人脸具有清晰的面部特征。OpenCV采用的是Haar+AdaBoosting实现快速人脸识别，首先Haar是很弱的特征，需要很多特征组合在一起才能构成强分类器，基于深度学习的目标检测方案目前发展迅速，使用卷积网络进行人脸识别应该可以在面部特征不够清晰的情况下，获得更高的准确率。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='Selection1'></a>\n",
    "### 选做：\n",
    "\n",
    "我们建议在你的算法中使用opencv的人脸检测模型去检测人类图像，不过你可以自由地探索其他的方法，尤其是尝试使用深度学习来解决它:)。请用下方的代码单元来设计和测试你的面部监测算法。如果你决定完成这个_选做_任务，你需要报告算法在每一个数据集上的表现。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## (选做) TODO: 报告另一个面部检测算法在LFW数据集上的表现\n",
    "### 你可以随意使用所需的代码单元数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step2'></a>\n",
    "\n",
    "## 步骤 2: 检测狗狗\n",
    "\n",
    "在这个部分中，我们使用预训练的 [ResNet-50](http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006) 模型去检测图像中的狗。下方的第一行代码就是下载了 ResNet-50 模型的网络结构参数，以及基于 [ImageNet](http://www.image-net.org/) 数据集的预训练权重。\n",
    "\n",
    "ImageNet 这目前一个非常流行的数据集，常被用来测试图像分类等计算机视觉任务相关的算法。它包含超过一千万个 URL，每一个都链接到 [1000 categories](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a) 中所对应的一个物体的图像。任给输入一个图像，该 ResNet-50 模型会返回一个对图像中物体的预测结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.applications.resnet50 import ResNet50\n",
    "\n",
    "# 定义ResNet50模型\n",
    "ResNet50_model = ResNet50(weights='imagenet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据预处理\n",
    "\n",
    "- 在使用 TensorFlow 作为后端的时候，在 Keras 中，CNN 的输入是一个4维数组（也被称作4维张量），它的各维度尺寸为 `(nb_samples, rows, columns, channels)`。其中 `nb_samples` 表示图像（或者样本）的总数，`rows`, `columns`, 和 `channels` 分别表示图像的行数、列数和通道数。\n",
    "\n",
    "\n",
    "- 下方的 `path_to_tensor` 函数实现如下将彩色图像的字符串型的文件路径作为输入，返回一个4维张量，作为 Keras CNN 输入。因为我们的输入图像是彩色图像，因此它们具有三个通道（ `channels` 为 `3`）。\n",
    "    1. 该函数首先读取一张图像，然后将其缩放为 224×224 的图像。\n",
    "    2. 随后，该图像被调整为具有4个维度的张量。\n",
    "    3. 对于任一输入图像，最后返回的张量的维度是：`(1, 224, 224, 3)`。\n",
    "\n",
    "\n",
    "- `paths_to_tensor` 函数将图像路径的字符串组成的 numpy 数组作为输入，并返回一个4维张量，各维度尺寸为 `(nb_samples, 224, 224, 3)`。 在这里，`nb_samples`是提供的图像路径的数据中的样本数量或图像数量。你也可以将 `nb_samples` 理解为数据集中3维张量的个数（每个3维张量表示一个不同的图像。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.preprocessing import image                  \n",
    "from tqdm import tqdm\n",
    "\n",
    "def path_to_tensor(img_path):\n",
    "    # 用PIL加载RGB图像为PIL.Image.Image类型\n",
    "    img = image.load_img(img_path, target_size=(224, 224))\n",
    "    # 将PIL.Image.Image类型转化为格式为(224, 224, 3)的3维张量\n",
    "    x = image.img_to_array(img)\n",
    "    # 将3维张量转化为格式为(1, 224, 224, 3)的4维张量并返回\n",
    "    return np.expand_dims(x, axis=0)\n",
    "\n",
    "def paths_to_tensor(img_paths):\n",
    "    list_of_tensors = [path_to_tensor(img_path) for img_path in tqdm(img_paths)]\n",
    "    return np.vstack(list_of_tensors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基于 ResNet-50 架构进行预测\n",
    "\n",
    "对于通过上述步骤得到的四维张量，在把它们输入到 ResNet-50 网络、或 Keras 中其他类似的预训练模型之前，还需要进行一些额外的处理：\n",
    "1. 首先，这些图像的通道顺序为 RGB，我们需要重排他们的通道顺序为 BGR。\n",
    "2. 其次，预训练模型的输入都进行了额外的归一化过程。因此我们在这里也要对这些张量进行归一化，即对所有图像所有像素都减去像素均值 `[103.939, 116.779, 123.68]`（以 RGB 模式表示，根据所有的 ImageNet 图像算出）。\n",
    "\n",
    "导入的 `preprocess_input` 函数实现了这些功能。如果你对此很感兴趣，可以在 [这里](https://github.com/fchollet/keras/blob/master/keras/applications/imagenet_utils.py) 查看 `preprocess_input`的代码。\n",
    "\n",
    "\n",
    "在实现了图像处理的部分之后，我们就可以使用模型来进行预测。这一步通过 `predict` 方法来实现，它返回一个向量，向量的第 i 个元素表示该图像属于第 i 个 ImageNet 类别的概率。这通过如下的 `ResNet50_predict_labels` 函数实现。\n",
    "\n",
    "通过对预测出的向量取用 argmax 函数（找到有最大概率值的下标序号），我们可以得到一个整数，即模型预测到的物体的类别。进而根据这个 [清单](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a)，我们能够知道这具体是哪个品种的狗狗。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.applications.resnet50 import preprocess_input, decode_predictions\n",
    "def ResNet50_predict_labels(img_path):\n",
    "    # 返回img_path路径的图像的预测向量\n",
    "    img = preprocess_input(path_to_tensor(img_path))\n",
    "    return np.argmax(ResNet50_model.predict(img))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 完成狗检测模型\n",
    "\n",
    "\n",
    "在研究该 [清单](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a) 的时候，你会注意到，狗类别对应的序号为151-268。因此，在检查预训练模型判断图像是否包含狗的时候，我们只需要检查如上的 `ResNet50_predict_labels` 函数是否返回一个介于151和268之间（包含区间端点）的值。\n",
    "\n",
    "我们通过这些想法来完成下方的 `dog_detector` 函数，如果从图像中检测到狗就返回 `True`，否则返回 `False`。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dog_detector(img_path):\n",
    "    prediction = ResNet50_predict_labels(img_path)\n",
    "    return ((prediction <= 268) & (prediction >= 151)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 【作业】评估狗狗检测模型\n",
    "\n",
    "---\n",
    "\n",
    "<a id='question3'></a>\n",
    "### __问题 3:__ \n",
    "\n",
    "在下方的代码块中，使用 `dog_detector` 函数，计算：\n",
    "\n",
    "- `human_files_short`中图像检测到狗狗的百分比？\n",
    "- `dog_files_short`中图像检测到狗狗的百分比？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 % human images are detected as dog\n",
      "100 % dog images are detected as dog\n"
     ]
    }
   ],
   "source": [
    "### TODO: 测试dog_detector函数在human_files_short和dog_files_short的表现\n",
    "count_dog_humanfile = 0\n",
    "count_dog_dogfile = 0\n",
    "for human_img in human_files_short:\n",
    "    if dog_detector(human_img):\n",
    "        count_dog_humanfile += 1\n",
    "for dog_img in dog_files_short:\n",
    "    if dog_detector(dog_img):\n",
    "        count_dog_dogfile += 1\n",
    "print(\"%s %% human images are detected as dog\" % count_dog_humanfile)\n",
    "print(\"%s %% dog images are detected as dog\" % count_dog_dogfile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='step3'></a>\n",
    "\n",
    "## 步骤 3: 从头开始创建一个CNN来分类狗品种\n",
    "\n",
    "\n",
    "现在我们已经实现了一个函数，能够在图像中识别人类及狗狗。但我们需要更进一步的方法，来对狗的类别进行识别。在这一步中，你需要实现一个卷积神经网络来对狗的品种进行分类。你需要__从头实现__你的卷积神经网络（在这一阶段，你还不能使用迁移学习），并且你需要达到超过1%的测试集准确率。在本项目的步骤五种，你还有机会使用迁移学习来实现一个准确率大大提高的模型。\n",
    "\n",
    "在添加卷积层的时候，注意不要加上太多的（可训练的）层。更多的参数意味着更长的训练时间，也就是说你更可能需要一个 GPU 来加速训练过程。万幸的是，Keras 提供了能够轻松预测每次迭代（epoch）花费时间所需的函数。你可以据此推断你算法所需的训练时间。\n",
    "\n",
    "值得注意的是，对狗的图像进行分类是一项极具挑战性的任务。因为即便是一个正常人，也很难区分布列塔尼犬和威尔士史宾格犬。\n",
    "\n",
    "\n",
    "布列塔尼犬（Brittany） | 威尔士史宾格犬（Welsh Springer Spaniel）\n",
    "- | - \n",
    "<img src=\"images/Brittany_02625.jpg\" width=\"100\"> | <img src=\"images/Welsh_springer_spaniel_08203.jpg\" width=\"200\">\n",
    "\n",
    "不难发现其他的狗品种会有很小的类间差别（比如金毛寻回犬和美国水猎犬）。\n",
    "\n",
    "\n",
    "金毛寻回犬（Curly-Coated Retriever） | 美国水猎犬（American Water Spaniel）\n",
    "- | -\n",
    "<img src=\"images/Curly-coated_retriever_03896.jpg\" width=\"200\"> | <img src=\"images/American_water_spaniel_00648.jpg\" width=\"200\">\n",
    "\n",
    "同样，拉布拉多犬（labradors）有黄色、棕色和黑色这三种。那么你设计的基于视觉的算法将不得不克服这种较高的类间差别，以达到能够将这些不同颜色的同类狗分到同一个品种中。\n",
    "\n",
    "黄色拉布拉多犬（Yellow Labrador） | 棕色拉布拉多犬（Chocolate Labrador） | 黑色拉布拉多犬（Black Labrador）\n",
    "- | -\n",
    "<img src=\"images/Labrador_retriever_06457.jpg\" width=\"150\"> | <img src=\"images/Labrador_retriever_06455.jpg\" width=\"240\"> | <img src=\"images/Labrador_retriever_06449.jpg\" width=\"220\">\n",
    "\n",
    "我们也提到了随机分类将得到一个非常低的结果：不考虑品种略有失衡的影响，随机猜测到正确品种的概率是1/133，相对应的准确率是低于1%的。\n",
    "\n",
    "请记住，在深度学习领域，实践远远高于理论。大量尝试不同的框架吧，相信你的直觉！当然，玩得开心！\n",
    "\n",
    "\n",
    "### 数据预处理\n",
    "\n",
    "\n",
    "通过对每张图像的像素值除以255，我们对图像实现了归一化处理。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 6680/6680 [00:52<00:00, 128.27it/s]\n",
      "100%|██████████| 835/835 [00:05<00:00, 143.44it/s]\n",
      "100%|██████████| 836/836 [00:05<00:00, 144.86it/s]\n"
     ]
    }
   ],
   "source": [
    "from PIL import ImageFile                            \n",
    "ImageFile.LOAD_TRUNCATED_IMAGES = True                 \n",
    "\n",
    "# Keras中的数据预处理过程\n",
    "train_tensors = paths_to_tensor(train_files).astype('float32')/255\n",
    "valid_tensors = paths_to_tensor(valid_files).astype('float32')/255\n",
    "test_tensors = paths_to_tensor(test_files).astype('float32')/255"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 【练习】模型架构\n",
    "\n",
    "\n",
    "创建一个卷积神经网络来对狗品种进行分类。在你代码块的最后，执行 `model.summary()` 来输出你模型的总结信息。\n",
    "    \n",
    "我们已经帮你导入了一些所需的 Python 库，如有需要你可以自行导入。如果你在过程中遇到了困难，如下是给你的一点小提示——该模型能够在5个 epoch 内取得超过1%的测试准确率，并且能在CPU上很快地训练。\n",
    "\n",
    "![Sample CNN](images/sample_cnn.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='question4'></a>  \n",
    "\n",
    "### __问题 4:__ \n",
    "\n",
    "在下方的代码块中尝试使用 Keras 搭建卷积网络的架构，并回答相关的问题。\n",
    "\n",
    "1. 你可以尝试自己搭建一个卷积网络的模型，那么你需要回答你搭建卷积网络的具体步骤（用了哪些层）以及为什么这样搭建。\n",
    "2. 你也可以根据上图提示的步骤搭建卷积网络，那么请说明为何如上的架构能够在该问题上取得很好的表现。\n",
    "\n",
    "__回答:__ \n",
    "\n",
    "1. 结构共使用3层卷积层用于初步进行图片特征提取，使用# * 3的卷积核进行提取，由于“relu”函数具有梯度下降快且降低梯度小时，计算相对“sigmoid”函数更加简单等特点，本次使用其作为卷积层的激活函数；\n",
    "\n",
    "2. 由于卷积网络或产生大量的参数，为了减少训练参数的数量在每层卷积层后，增加一层池化层用于降低卷积层特征维度，提取最有用的信息，降低噪声影响及过拟合的状况，本次采用了最大池化；\n",
    "\n",
    "3. 同时为了降低过拟合的状况，在池化层之后增加了Dropout()层；\n",
    "\n",
    "4. 使用Flatten层将三维数据压成一维数据，用于卷积层和全连接层之间的连接；\n",
    "\n",
    "5. 最终建立一层全连接层用于输出133种狗类的输出，并采用了适合多分类问题的\"softmax\"函数作为激活函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 224, 224, 16)      208       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 112, 112, 16)      0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 112, 112, 16)      0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 112, 112, 32)      2080      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 56, 56, 32)        0         \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 56, 56, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 56, 56, 64)        8256      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "flatten_2 (Flatten)          (None, 50176)             0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 133)               6673541   \n",
      "=================================================================\n",
      "Total params: 6,684,085\n",
      "Trainable params: 6,684,085\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D\n",
    "from keras.layers import Dropout, Flatten, Dense\n",
    "from keras.models import Sequential\n",
    "\n",
    "model = Sequential()\n",
    "\n",
    "### TODO: 定义你的网络架构\n",
    "model.add(Conv2D(filters=16, kernel_size=2, padding='same', activation='relu',input_shape=(224, 224, 3)))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Conv2D(filters=32, kernel_size=2, padding='same', activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Conv2D(filters=64, kernel_size=2, padding='same', activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(133,activation='softmax'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 编译模型\n",
    "model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 【练习】训练模型\n",
    "\n",
    "\n",
    "---\n",
    "\n",
    "<a id='question5'></a>  \n",
    "\n",
    "### __问题 5:__ \n",
    "\n",
    "在下方代码单元训练模型。使用模型检查点（model checkpointing）来储存具有最低验证集 loss 的模型。\n",
    "\n",
    "可选题：你也可以对训练集进行 [数据增强](https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html)，来优化模型的表现。\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 6680 samples, validate on 835 samples\n",
      "Epoch 1/10\n",
      "6680/6680 [==============================] - 248s 37ms/step - loss: 4.9599 - acc: 0.0177 - val_loss: 4.7414 - val_acc: 0.0263\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 4.74139, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 2/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 4.5429 - acc: 0.0485 - val_loss: 4.5357 - val_acc: 0.0611\n",
      "\n",
      "Epoch 00002: val_loss improved from 4.74139 to 4.53570, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 3/10\n",
      "6680/6680 [==============================] - 246s 37ms/step - loss: 4.2368 - acc: 0.0967 - val_loss: 4.4606 - val_acc: 0.0551\n",
      "\n",
      "Epoch 00003: val_loss improved from 4.53570 to 4.46058, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 4/10\n",
      "6680/6680 [==============================] - 247s 37ms/step - loss: 3.8653 - acc: 0.1506 - val_loss: 4.3975 - val_acc: 0.0707\n",
      "\n",
      "Epoch 00004: val_loss improved from 4.46058 to 4.39751, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 5/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 3.4293 - acc: 0.2322 - val_loss: 4.4291 - val_acc: 0.0743\n",
      "\n",
      "Epoch 00005: val_loss did not improve from 4.39751\n",
      "Epoch 6/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 2.9241 - acc: 0.3308 - val_loss: 4.6802 - val_acc: 0.0647\n",
      "\n",
      "Epoch 00006: val_loss did not improve from 4.39751\n",
      "Epoch 7/10\n",
      "6680/6680 [==============================] - 244s 36ms/step - loss: 2.4143 - acc: 0.4392 - val_loss: 4.9871 - val_acc: 0.0563\n",
      "\n",
      "Epoch 00007: val_loss did not improve from 4.39751\n",
      "Epoch 8/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 2.0081 - acc: 0.5228 - val_loss: 5.2807 - val_acc: 0.0563\n",
      "\n",
      "Epoch 00008: val_loss did not improve from 4.39751\n",
      "Epoch 9/10\n",
      "6680/6680 [==============================] - 246s 37ms/step - loss: 1.6927 - acc: 0.5882 - val_loss: 5.4383 - val_acc: 0.0539\n",
      "\n",
      "Epoch 00009: val_loss did not improve from 4.39751\n",
      "Epoch 10/10\n",
      "6680/6680 [==============================] - 244s 37ms/step - loss: 1.4157 - acc: 0.6521 - val_loss: 5.9534 - val_acc: 0.0623\n",
      "\n",
      "Epoch 00010: val_loss did not improve from 4.39751\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f2912ce1550>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.callbacks import ModelCheckpoint  \n",
    "\n",
    "### TODO: 设置训练模型的epochs的数量\n",
    "\n",
    "epochs = 10\n",
    "\n",
    "### 不要修改下方代码\n",
    "\n",
    "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.from_scratch.hdf5', \n",
    "                               verbose=1, save_best_only=True)\n",
    "\n",
    "model.fit(train_tensors, train_targets, \n",
    "          validation_data=(valid_tensors, valid_targets),\n",
    "          epochs=epochs, batch_size=20, callbacks=[checkpointer], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 加载具有最好验证loss的模型\n",
    "\n",
    "model.load_weights('saved_models/weights.best.from_scratch.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 测试模型\n",
    "\n",
    "在狗图像的测试数据集上试用你的模型。确保测试准确率大于1%。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 7.2967%\n"
     ]
    }
   ],
   "source": [
    "# 获取测试数据集中每一个图像所预测的狗品种的index\n",
    "dog_breed_predictions = [np.argmax(model.predict(np.expand_dims(tensor, axis=0))) for tensor in test_tensors]\n",
    "\n",
    "# 报告测试准确率\n",
    "test_accuracy = 100*np.sum(np.array(dog_breed_predictions)==np.argmax(test_targets, axis=1))/len(dog_breed_predictions)\n",
    "print('Test accuracy: %.4f%%' % test_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step4'></a>\n",
    "## 步骤 4: 使用一个CNN来区分狗的品种\n",
    "\n",
    "\n",
    "使用 迁移学习（Transfer Learning）的方法，能帮助我们在不损失准确率的情况下大大减少训练时间。在以下步骤中，你可以尝试使用迁移学习来训练你自己的CNN。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 得到从图像中提取的特征向量（Bottleneck Features）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "bottleneck_features = np.load('bottleneck_features/DogVGG16Data.npz')\n",
    "train_VGG16 = bottleneck_features['train']\n",
    "valid_VGG16 = bottleneck_features['valid']\n",
    "test_VGG16 = bottleneck_features['test']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型架构\n",
    "\n",
    "该模型使用预训练的 VGG-16 模型作为固定的图像特征提取器，其中 VGG-16 最后一层卷积层的输出被直接输入到我们的模型。我们只需要添加一个全局平均池化层以及一个全连接层，其中全连接层使用 softmax 激活函数，对每一个狗的种类都包含一个节点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "global_average_pooling2d_1 ( (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 133)               68229     \n",
      "=================================================================\n",
      "Total params: 68,229\n",
      "Trainable params: 68,229\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "VGG16_model = Sequential()\n",
    "VGG16_model.add(GlobalAveragePooling2D(input_shape=train_VGG16.shape[1:]))\n",
    "VGG16_model.add(Dense(133, activation='softmax'))\n",
    "\n",
    "VGG16_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 编译模型\n",
    "\n",
    "VGG16_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 6680 samples, validate on 835 samples\n",
      "Epoch 1/20\n",
      "6680/6680 [==============================] - 3s 394us/step - loss: 12.5531 - acc: 0.1070 - val_loss: 10.9231 - val_acc: 0.1988\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 10.92308, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 2/20\n",
      "6680/6680 [==============================] - 1s 178us/step - loss: 10.1924 - acc: 0.2651 - val_loss: 10.2071 - val_acc: 0.2491\n",
      "\n",
      "Epoch 00002: val_loss improved from 10.92308 to 10.20708, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 3/20\n",
      "6680/6680 [==============================] - 1s 189us/step - loss: 9.5875 - acc: 0.3335 - val_loss: 9.8616 - val_acc: 0.2838\n",
      "\n",
      "Epoch 00003: val_loss improved from 10.20708 to 9.86157, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 4/20\n",
      "6680/6680 [==============================] - 1s 199us/step - loss: 9.0972 - acc: 0.3680 - val_loss: 9.4616 - val_acc: 0.3090\n",
      "\n",
      "Epoch 00004: val_loss improved from 9.86157 to 9.46163, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 5/20\n",
      "6680/6680 [==============================] - 1s 187us/step - loss: 8.6953 - acc: 0.4030 - val_loss: 9.1553 - val_acc: 0.3341\n",
      "\n",
      "Epoch 00005: val_loss improved from 9.46163 to 9.15530, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 6/20\n",
      "6680/6680 [==============================] - 1s 172us/step - loss: 8.3226 - acc: 0.4356 - val_loss: 8.9485 - val_acc: 0.3545\n",
      "\n",
      "Epoch 00006: val_loss improved from 9.15530 to 8.94854, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 7/20\n",
      "6680/6680 [==============================] - 1s 188us/step - loss: 8.1063 - acc: 0.4534 - val_loss: 8.6712 - val_acc: 0.3677\n",
      "\n",
      "Epoch 00007: val_loss improved from 8.94854 to 8.67116, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 8/20\n",
      "6680/6680 [==============================] - 1s 175us/step - loss: 7.8096 - acc: 0.4772 - val_loss: 8.4480 - val_acc: 0.3916\n",
      "\n",
      "Epoch 00008: val_loss improved from 8.67116 to 8.44795, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 9/20\n",
      "6680/6680 [==============================] - 1s 175us/step - loss: 7.6761 - acc: 0.4930 - val_loss: 8.4660 - val_acc: 0.3832\n",
      "\n",
      "Epoch 00009: val_loss did not improve from 8.44795\n",
      "Epoch 10/20\n",
      "6680/6680 [==============================] - 1s 193us/step - loss: 7.4982 - acc: 0.5084 - val_loss: 8.3045 - val_acc: 0.3904\n",
      "\n",
      "Epoch 00010: val_loss improved from 8.44795 to 8.30451, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 11/20\n",
      "6680/6680 [==============================] - 1s 187us/step - loss: 7.3364 - acc: 0.5219 - val_loss: 8.2001 - val_acc: 0.4108\n",
      "\n",
      "Epoch 00011: val_loss improved from 8.30451 to 8.20006, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 12/20\n",
      "6680/6680 [==============================] - 1s 180us/step - loss: 7.2804 - acc: 0.5316 - val_loss: 8.1296 - val_acc: 0.4216\n",
      "\n",
      "Epoch 00012: val_loss improved from 8.20006 to 8.12958, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 13/20\n",
      "6680/6680 [==============================] - 1s 188us/step - loss: 7.2457 - acc: 0.5379 - val_loss: 8.1316 - val_acc: 0.4168\n",
      "\n",
      "Epoch 00013: val_loss did not improve from 8.12958\n",
      "Epoch 14/20\n",
      "6680/6680 [==============================] - 1s 205us/step - loss: 7.1386 - acc: 0.5391 - val_loss: 8.0307 - val_acc: 0.4228\n",
      "\n",
      "Epoch 00014: val_loss improved from 8.12958 to 8.03069, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 15/20\n",
      "6680/6680 [==============================] - 1s 172us/step - loss: 6.9897 - acc: 0.5485 - val_loss: 7.9232 - val_acc: 0.4263\n",
      "\n",
      "Epoch 00015: val_loss improved from 8.03069 to 7.92325, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 16/20\n",
      "6680/6680 [==============================] - 1s 203us/step - loss: 6.8471 - acc: 0.5588 - val_loss: 7.8090 - val_acc: 0.4263\n",
      "\n",
      "Epoch 00016: val_loss improved from 7.92325 to 7.80897, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 17/20\n",
      "6680/6680 [==============================] - 1s 174us/step - loss: 6.7826 - acc: 0.5681 - val_loss: 7.7769 - val_acc: 0.4443\n",
      "\n",
      "Epoch 00017: val_loss improved from 7.80897 to 7.77690, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 18/20\n",
      "6680/6680 [==============================] - 1s 192us/step - loss: 6.7568 - acc: 0.5729 - val_loss: 7.7757 - val_acc: 0.4407\n",
      "\n",
      "Epoch 00018: val_loss improved from 7.77690 to 7.77566, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 19/20\n",
      "6680/6680 [==============================] - 1s 170us/step - loss: 6.7325 - acc: 0.5754 - val_loss: 7.7408 - val_acc: 0.4491\n",
      "\n",
      "Epoch 00019: val_loss improved from 7.77566 to 7.74077, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 20/20\n",
      "6680/6680 [==============================] - 1s 170us/step - loss: 6.6235 - acc: 0.5784 - val_loss: 7.6458 - val_acc: 0.4443\n",
      "\n",
      "Epoch 00020: val_loss improved from 7.74077 to 7.64577, saving model to saved_models/weights.best.VGG16.hdf5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fdb00ba1240>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 训练模型\n",
    "from keras.callbacks import ModelCheckpoint \n",
    "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.VGG16.hdf5', \n",
    "                               verbose=1, save_best_only=True)\n",
    "\n",
    "VGG16_model.fit(train_VGG16, train_targets, \n",
    "          validation_data=(valid_VGG16, valid_targets),\n",
    "          epochs=20, batch_size=20, callbacks=[checkpointer], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 加载具有最好验证loss的模型\n",
    "VGG16_model.load_weights('saved_models/weights.best.VGG16.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 测试模型\n",
    "现在，我们可以测试此CNN在狗图像测试数据集中识别品种的效果如何。我们在下方打印出测试准确率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 43.4211%\n"
     ]
    }
   ],
   "source": [
    "# 获取测试数据集中每一个图像所预测的狗品种的index\n",
    "VGG16_predictions = [np.argmax(VGG16_model.predict(np.expand_dims(feature, axis=0))) for feature in test_VGG16]\n",
    "\n",
    "# 报告测试准确率\n",
    "test_accuracy = 100*np.sum(np.array(VGG16_predictions)==np.argmax(test_targets, axis=1))/len(VGG16_predictions)\n",
    "print('Test accuracy: %.4f%%' % test_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用模型预测狗的品种"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from extract_bottleneck_features import *\n",
    "\n",
    "def VGG16_predict_breed(img_path):\n",
    "    # 提取bottleneck特征\n",
    "    bottleneck_feature = extract_VGG16(path_to_tensor(img_path))\n",
    "    # 获取预测向量\n",
    "    predicted_vector = VGG16_model.predict(bottleneck_feature)\n",
    "    # 返回此模型预测的狗的品种\n",
    "    return dog_names[np.argmax(predicted_vector)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step5'></a>\n",
    "## 步骤 5: 建立一个CNN来分类狗的品种（使用迁移学习）\n",
    "\n",
    "现在你将使用迁移学习来建立一个CNN，从而可以从图像中识别狗的品种。你的 CNN 在测试集上的准确率必须至少达到60%。\n",
    "\n",
    "在步骤4中，我们使用了迁移学习来创建一个使用基于 VGG-16 提取的特征向量来搭建一个 CNN。在本部分内容中，你必须使用另一个预训练模型来搭建一个 CNN。为了让这个任务更易实现，我们已经预先对目前 keras 中可用的几种网络进行了预训练：\n",
    "\n",
    "- [VGG-19](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogVGG19Data.npz) bottleneck features\n",
    "- [ResNet-50](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogResnet50Data.npz) bottleneck features\n",
    "- [Inception](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogInceptionV3Data.npz) bottleneck features\n",
    "- [Xception](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogXceptionData.npz) bottleneck features\n",
    "\n",
    "这些文件被命名为为：\n",
    "\n",
    "    Dog{network}Data.npz\n",
    "\n",
    "其中 `{network}` 可以是 `VGG19`、`Resnet50`、`InceptionV3` 或 `Xception` 中的一个。选择上方网络架构中的一个，下载相对应的bottleneck特征，并将所下载的文件保存在目录 `bottleneck_features/` 中。\n",
    "\n",
    "\n",
    "### 【练习】获取模型的特征向量\n",
    "\n",
    "在下方代码块中，通过运行下方代码提取训练、测试与验证集相对应的bottleneck特征。\n",
    "\n",
    "    bottleneck_features = np.load('bottleneck_features/Dog{network}Data.npz')\n",
    "    train_{network} = bottleneck_features['train']\n",
    "    valid_{network} = bottleneck_features['valid']\n",
    "    test_{network} = bottleneck_features['test']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 从另一个预训练的CNN获取bottleneck特征\n",
    "bottleneck_features = np.load('bottleneck_features/DogInceptionV3Data.npz')\n",
    "train_Inception = bottleneck_features['train']\n",
    "valid_Inception = bottleneck_features['valid']\n",
    "test_Inception = bottleneck_features['test']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 【练习】模型架构\n",
    "\n",
    "建立一个CNN来分类狗品种。在你的代码单元块的最后，通过运行如下代码输出网络的结构：\n",
    "    \n",
    "        <your model's name>.summary()\n",
    "   \n",
    "---\n",
    "\n",
    "<a id='question6'></a>  \n",
    "\n",
    "### __问题 6:__ \n",
    "\n",
    "\n",
    "在下方的代码块中尝试使用 Keras 搭建最终的网络架构，并回答你实现最终 CNN 架构的步骤与每一步的作用，并描述你在迁移学习过程中，使用该网络架构的原因。\n",
    "\n",
    "\n",
    "__回答:__ \n",
    "\n",
    "本次迁移学习过程选择了训练好的InceptionV3模型，Inception模型将1x1，3x3，5x5的conv和3x3的pooling，stack在一起，提高了增加了网络的width，同时使得网络对尺度有好的适应性。迁移学习的效果会更好，同时V3将7x7分解成两个一维的卷积（1x7,7x1），3x3也是一样（1x3,3x1），提高网络的计算效率，又可以将1个conv拆成2个conv，使得网络深度进一步增加，增加了网络的非线性。因此选择了InceptionV3模型作为本次的迁移框架；\n",
    "\n",
    "本次训练是进行狗的分类，和Inception的训练数据类似，因此只需要将最终的全连接层输出换成本次分类的输出即可使用，首先使用了一层全局平均池化层提取Inception数据的重要特征，将数据压缩成便于全连接层的输入，在增加一层数据为本次训练的133种狗类的分类输出的全连接层用于数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "global_average_pooling2d_2 ( (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 133)               272517    \n",
      "=================================================================\n",
      "Total params: 272,517\n",
      "Trainable params: 272,517\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "### TODO: 定义你的框架\n",
    "Inception_model = Sequential()\n",
    "Inception_model.add(GlobalAveragePooling2D(input_shape=train_Inception.shape[1:]))\n",
    "Inception_model.add(Dense(133, activation='softmax'))\n",
    "\n",
    "Inception_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 编译模型\n",
    "Inception_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### 【练习】训练模型\n",
    "\n",
    "<a id='question7'></a>  \n",
    "\n",
    "### __问题 7:__ \n",
    "\n",
    "在下方代码单元中训练你的模型。使用模型检查点（model checkpointing）来储存具有最低验证集 loss 的模型。\n",
    "\n",
    "当然，你也可以对训练集进行 [数据增强](https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html) 以优化模型的表现，不过这不是必须的步骤。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/anaconda3/lib/python3.6/site-packages/keras_preprocessing/image.py:1183: UserWarning: Expected input to be images (as Numpy array) following the data format convention \"channels_last\" (channels on axis 3), i.e. expected either 1, 3 or 4 channels on axis 3. However, it was passed an array with shape (6680, 5, 5, 2048) (2048 channels).\n",
      "  ' channels).')\n",
      "/root/anaconda3/lib/python3.6/site-packages/keras_preprocessing/image.py:1183: UserWarning: Expected input to be images (as Numpy array) following the data format convention \"channels_last\" (channels on axis 3), i.e. expected either 1, 3 or 4 channels on axis 3. However, it was passed an array with shape (835, 5, 5, 2048) (2048 channels).\n",
      "  ' channels).')\n",
      "/root/anaconda3/lib/python3.6/site-packages/keras_preprocessing/image.py:1404: UserWarning: NumpyArrayIterator is set to use the data format convention \"channels_last\" (channels on axis 3), i.e. expected either 1, 3 or 4 channels on axis 3. However, it was passed an array with shape (6680, 5, 5, 2048) (2048 channels).\n",
      "  str(self.x.shape[channels_axis]) + ' channels).')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "334/334 [==============================] - 254s 760ms/step - loss: 1.1970 - acc: 0.7037 - val_loss: 0.6702 - val_acc: 0.8168\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 0.67017, saving model to saved_models/weights.best.Inception.hdf5\n",
      "Epoch 2/5\n",
      "334/334 [==============================] - 253s 758ms/step - loss: 0.5030 - acc: 0.8487 - val_loss: 0.6488 - val_acc: 0.8204\n",
      "\n",
      "Epoch 00002: val_loss improved from 0.67017 to 0.64879, saving model to saved_models/weights.best.Inception.hdf5\n",
      "Epoch 3/5\n",
      "334/334 [==============================] - 255s 763ms/step - loss: 0.3831 - acc: 0.8840 - val_loss: 0.6564 - val_acc: 0.8407\n",
      "\n",
      "Epoch 00003: val_loss did not improve from 0.64879\n",
      "Epoch 4/5\n",
      "334/334 [==============================] - 256s 767ms/step - loss: 0.3036 - acc: 0.9055 - val_loss: 0.6843 - val_acc: 0.8395\n",
      "\n",
      "Epoch 00004: val_loss did not improve from 0.64879\n",
      "Epoch 5/5\n",
      "334/334 [==============================] - 256s 765ms/step - loss: 0.2539 - acc: 0.9204 - val_loss: 0.7182 - val_acc: 0.8479\n",
      "\n",
      "Epoch 00005: val_loss did not improve from 0.64879\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fdb19356518>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### TODO: 训练模型\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.Inception.hdf5', \n",
    "                               verbose=1, save_best_only=True)\n",
    "\n",
    "datagen = ImageDataGenerator(width_shift_range=0.2, height_shift_range=0.2,horizontal_flip=True)\n",
    "datagen.fit(train_Inception)\n",
    "datagen.fit(valid_Inception)\n",
    "\n",
    "Inception_model.fit_generator(datagen.flow(train_Inception, train_targets, batch_size=20),\n",
    "                             steps_per_epoch=train_Inception.shape[0]//20, epochs=5, verbose=1,\n",
    "                             callbacks=[checkpointer], validation_data=(valid_Inception, valid_targets))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 加载具有最佳验证loss的模型权重\n",
    "Inception_model.load_weights('saved_models/weights.best.Inception.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### 【练习】测试模型\n",
    "\n",
    "<a id='question8'></a>  \n",
    "\n",
    "### __问题 8:__ \n",
    "\n",
    "在狗图像的测试数据集上试用你的模型。确保测试准确率大于60%。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 80.1435%\n"
     ]
    }
   ],
   "source": [
    "### TODO: 在测试集上计算分类准确率\n",
    "# 获取测试数据集中每一个图像所预测的狗品种的index\n",
    "Inception_predictions = [np.argmax(Inception_model.predict(np.expand_dims(feature, axis=0))) for feature in test_Inception]\n",
    "\n",
    "# 报告测试准确率\n",
    "test_accuracy = 100*np.sum(np.array(Inception_predictions)==np.argmax(test_targets, axis=1))/len(Inception_predictions)\n",
    "print('Test accuracy: %.4f%%' % test_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### 【练习】使用模型测试狗的品种\n",
    "\n",
    "\n",
    "实现一个函数，它的输入为图像路径，功能为预测对应图像的类别，输出为你模型预测出的狗类别（`Affenpinscher`, `Afghan_hound` 等）。\n",
    "\n",
    "与步骤5中的模拟函数类似，你的函数应当包含如下三个步骤：\n",
    "\n",
    "1. 根据选定的模型载入图像特征（bottleneck features）\n",
    "2. 将图像特征输输入到你的模型中，并返回预测向量。注意，在该向量上使用 argmax 函数可以返回狗种类的序号。\n",
    "3. 使用在步骤0中定义的 `dog_names` 数组来返回对应的狗种类名称。\n",
    "\n",
    "提取图像特征过程中使用到的函数可以在 `extract_bottleneck_features.py` 中找到。同时，他们应已在之前的代码块中被导入。根据你选定的 CNN 网络，你可以使用 `extract_{network}` 函数来获得对应的图像特征，其中 `{network}` 代表 `VGG19`, `Resnet50`, `InceptionV3`, 或 `Xception` 中的一个。\n",
    " \n",
    "---\n",
    "\n",
    "<a id='question9'></a>  \n",
    "\n",
    "### __问题 9:__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 写一个函数，该函数将图像的路径作为输入\n",
    "### 然后返回此模型所预测的狗的品种\n",
    "from extract_bottleneck_features import *\n",
    "\n",
    "def Inception_prediction(img_path):\n",
    "    # 提取bottleneck特征\n",
    "    bottleneck_feature = extract_InceptionV3(path_to_tensor(img_path))\n",
    "    # 获取预测向量\n",
    "    predicted_vector = Inception_model.predict(bottleneck_feature)\n",
    "    # 返回此模型预测的狗的品种\n",
    "    return dog_names[np.argmax(predicted_vector)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='step6'></a>\n",
    "## 步骤 6: 完成你的算法\n",
    "\n",
    "\n",
    "\n",
    "实现一个算法，它的输入为图像的路径，它能够区分图像是否包含一个人、狗或两者都不包含，然后：\n",
    "\n",
    "- 如果从图像中检测到一只__狗__，返回被预测的品种。\n",
    "- 如果从图像中检测到__人__，返回最相像的狗品种。\n",
    "- 如果两者都不能在图像中检测到，输出错误提示。\n",
    "\n",
    "我们非常欢迎你来自己编写检测图像中人类与狗的函数，你可以随意地使用上方完成的 `face_detector` 和 `dog_detector` 函数。你__需要__在步骤5使用你的CNN来预测狗品种。\n",
    "\n",
    "下面提供了算法的示例输出，但你可以自由地设计自己的模型！\n",
    "\n",
    "![Sample Human Output](images/sample_human_output.png)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "<a id='question10'></a>  \n",
    "\n",
    "### __问题 10:__\n",
    "\n",
    "在下方代码块中完成你的代码。\n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 设计你的算法\n",
    "### 自由地使用所需的代码单元数吧\n",
    "def face_dog_prediction(img_path):\n",
    "    if face_detector(img_path) or dog_detector(img_path):\n",
    "        img = cv2.imread(img_path)\n",
    "        if face_detector(img_path):\n",
    "            print('hey,human!')\n",
    "            dog_prediction = 'You look like a ...{}'.format(Inception_prediction(img_path))\n",
    "            plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n",
    "            plt.show()\n",
    "            print(dog_prediction)\n",
    "        else:\n",
    "            print('this is a dog!')\n",
    "            dog_prediction = 'Thie dog is ...{}'.format(Inception_prediction(img_path))\n",
    "            plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n",
    "            plt.show()\n",
    "            print(dog_prediction)\n",
    "    else:\n",
    "        print('please input a picture of human or dog!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step7'></a>\n",
    "## 步骤 7: 测试你的算法\n",
    "\n",
    "在这个部分中，你将尝试一下你的新算法！算法认为__你__看起来像什么类型的狗？如果你有一只狗，它可以准确地预测你的狗的品种吗？如果你有一只猫，它会将你的猫误判为一只狗吗？\n",
    "\n",
    "\n",
    "<a id='question11'></a>  \n",
    "\n",
    "### __问题 11:__\n",
    "\n",
    "在下方编写代码，用至少6张现实中的图片来测试你的算法。你可以使用任意照片，不过请至少使用两张人类图片（要征得当事人同意哦）和两张狗的图片。\n",
    "同时请回答如下问题：\n",
    "\n",
    "1. 输出结果比你预想的要好吗 :) ？或者更糟 :( ？\n",
    "2. 提出至少三点改进你的模型的想法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 一共测试了7张图片，包含两张狗狗图片，两张人类图片和三张猫图片，目前三张图片均完成正常识别，效果达到预期；\n",
    "\n",
    "2. 本次模型使用了Inception模型的输出作为输入增加全局平均池化层提取模型数据特征，增加一层全连接层作为最终数据，测试集识别率达到80%，针对模型目前想到的改进点如下：①本次采用的图片效果增强提高模型效果，但是只针对height，weight进行0.2的调整及翻转，可以通过增加图片调整的角度范围，白化等更多效果得到更多不同的特征用于学习；②本次直接通过Inception输出后增加全连接用于分类，可以尝试增加全连接层来提取更多信息；3.尝试更多不同搭建的模型得到更适合本次分类的模型。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a dog!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thie dog is ...Chihuahua\n"
     ]
    }
   ],
   "source": [
    "## TODO: 在你的电脑上，在步骤6中，至少在6张图片上运行你的算法。\n",
    "## 自由地使用所需的代码单元数吧\n",
    "face_dog_prediction('testphoto/test1.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a dog!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thie dog is ...Australian_shepherd\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test6.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please input a picture of human or dog!\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test7.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please input a picture of human or dog!\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test8.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please input a picture of human or dog!\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test9.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hey,human!\n"
     ]
    },
    {
     "data": {
      "image/png": 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cng8iDBzJn5WUnwwRtgZrqrxgxTGbzmhDUuxCVp4S33ZYW9G2SQHTMf8a6jCmUUL6rfse7gnGLGU8YUVSgkUsEhlUDV8Yc7aGoCEMzZgK8YfTTGSbxrzNXJPfvQZxNrPU7TO50sJkJIxsPDkqmbRREfOWtmhGc9qEPO2J1/ePj48n4t00KN0vQyZ8emFDr6GddnZpM1nqEeJ2KEKPmX6GQCYaI/feY1VsrC5jzFS0ntpaQuyjgaRfBSN1zmWB38NtUkdhGGOfhu7DMVPepl0PIlXU/dpa0LQ2tgTGY/xWytjy0PXZ1n9vdlzXY3jt9mgP6TfdnzHG4uz03idHt+md/J1Pgk6PpVe0JMqMpoc0/2KJqS++BWm7l3r5U/0w7k/tt5AFY9JOrWT08Nrd+YMu9wRjtjbjbARCSBrXsDNi0VBS/KYfNNL72Hv6GTKVceiO1sT1wMkEZKShjctwkpwO0D9rMmwjUmHMIQRQjoHSdttjkkKMRfMvbfdFG932zm0TdvCO0edZzH1bFINmNOM2ja+VZ+j1n4YhZinLc9MCmqFzbxhRcFobFDNSh78ZY1Kw5qjPtQCSIpNs4iZ0vhe48tw00Sa9UDCnMVftdB3TQarrsD1D38kwzCyEMJDz/TNPw27/NmWspWtmJufH9D8Wym/27HHx3vdONmuLkJZY5GE0RYLs6ixom6aBHMZYIq0yPJKiMfLCrdi3aRyNVaDLMg6REFyZT4kuMsGE0/dpgSl1lfGrqqrMQe1k1XH6Oprozco9wZhDiARxDFExrVO10rLkFvA5bUDCjCvjCDHQBfBZczk+zmYijmBs/oPYpRVCXe7UkENk2ujTAgdT4WLEbJLHtYnHqbOzA8hWJq0qyhPRY2hDim0MBoyfYJWEhIq6HnqcZXJXgPG+LDWNXUckY6pVvzxVzLOma+lyrGYXAsEaTM47FfOSbJc8GLS+G0wwKWJKl5I8V3R+nX4ao2AiLcxEO0v4dz8RDTrqQgL4neuXQbs4jI7BQ+WSkw/bh/SFGGnbVO+26/0AZQKkFScE7wl4Vf2ItWSsPi+x9S2VsZhoiTFgRRsiYCJE3+J9KA4kWUpd2wnOOhwVFkvDBlNljTQYTLDYANGTtO+QNeyqxsaKk7bFGId1FT7aZFLbCUSPZZifxVlZ/hsgJngk5HGTdmDA2SSkQqzxIUer4LAmEmLA+96pqCGJGPuVdP34nHYAa0GrtXQpY1hwrNQMyGmLtj4O0ZRPbfEInVZVRWgdIVbUE4vtDK1vkxMvBuZuQYchRBX+OZsmqLJpMBYCAd+2OJP8A5v1cWHIwTcDhcYmnBAAT8STHHzBZAdud0jK7Zasu7ZtcRlWm9cVAVIEWNcSvKeqDM5NcK4qqSTEZ+K75KyV/phNF6f676xyTzBmY4aSG6IaSLUAIMd1Yvr45a7L0iym8DRSX5ySvsk89ir5T5qwOTALTXNaIxWNvRDmSAuUc8P2mAExj4m1fy5brxlPorGmkvqir3DCv05DC3Jua9ENLu877WzapvkJgZ+ljY/PlTqGcKrdAK33RXACdNlZezcNbaxN6/qmNue6VP2krGsDuGwySxhbAHq83dihVTFsSzVwPJU2h0gQmgg9hKGfI88a5zMZL5sfjOHIwachOOnTcR+cBUWMy7hvt1mJ+vhZzxJmedZ7x32w7TrxqXjv8VbCQDtCsDmXShjmNMnabKKpXNcITdsM6Mx7P8hjoWE6rfnqMFkv0Ic1UJQgSrx9NLYEE3jvMU6gMFv8FCVCyoYB/fxhrJt7hDGbwQCXSZUZc2KIPdPq8hLltpOoDUvMUi453EaEQGbKMWGXxsaBSS11ABXqpQSFMPPTJvtpxrGN8UBmTDlawUNxNghamLSiVDyMBMPZJbWv/z6ux1n3R3H2mYoEFemoldOmrnaeyW/B1vS1ui/0+/2I2ep6bhOi0pZtJvNZWppXAtSSJrqrJ2VSJrwvRevUtccY8aIPGaPus7LkFxCITde9dj1G7L0HnxmDFkIhpv62fbvH8cPj9qWxOe0cFMetFnJnPeus/nur56WNd4NMdIifhrv0/fKpmbLcm86pKKzYKdiuYb2WlZsqdr1y2PwYn/OaWDKN5SyMwpRNzr/TxzAPc5Q0jSHGuvSp1DXkPBohGCJpxXHXmbToS9IixIjvvJoPYvFtx/fPVJK2lHuDMQOx88Qc3TCdTrEumQwmh6GZKIljYL05IQTwuaOtNdm0T1nn0nfBiEKCPUQSmoAzYqolpm4w/WogiUVEaUX0WG60w2xr2zTfbeE644HS92vC15pziGZI+GoJqnBx0ZYlC9eY+M9kzBnvCqbL1xmgzzUCiWmbKgmp2XQxcLBNJpPClMUkLeMZmuLM0aFkUp9TCx2MKYxbF+/9yHkytCJKv0CGLbb1daCqeiePMQYEYqEDJrkfsyZshwIhTdCE4YeQTe+8AMp7j99sEAvPGUN0hipaou2jOmJMk7nxiQYF8pE26OQ9A+HFaca5jfFpYTke/22lWF0jqyO19+6WyrjcTRi/Fc091aMFQsGOq+qQyk2YTCYlksVan8NkI+vjlJ+iqirsunegW5NgwG7TDBh8TJpahhQFOm2JQGcihA4vsdIhZ5y0/WIrH9OipvX6hE3XFo0YIMSOruuFbYL2AEmUNBUtfwgxvlm5JxhzjOBcWsGXJk5eiAEk5immc5JiJT+FcVm7C8V3ZkzChNOkHebaiAMow2MxOWbYZI1bSXbNLFHQxCBnxtlahJSztJJtDFmfA1K4FJKwxuS29lhvqYeBrlWRDfbNGbMZmAyilamQOJMYmcSWTqfTEiUjjo7JZFLClyREKISAizn/QVTmdWgL/DIO1YoVZZUjqEyAwefcB31b0n2n0yuKAC39HfuxENoRehDHbxKC3XB8zBBj1ZpgjMOVo0VjJeHlYXTOxvS8sSAXJUEvqtA0UX6HYdhboYuwvR5naaXj49voTsMk2ip4szLOOzPGvPXnNphNv6ttN8QY2Ww2+KqPakDlV4kx0nZ9qljJ+FdXFZAYcdOui8Kgi1actENPQxk2tNkXkmjcuZjw7aq3BkIYpoqIdPguEKqcU76oCAkuNRiiOQ1n3q3cE4yZGFW4WKBrPJLVK2nQNZ3vMBGm9YTNJq3miwbqekLXBdpGYpt9Zti99zxhUr2W5n3CnUzWNWNKOCGVSYOkGFcxZEMgsj2zmQy2aIpAkeqFYYoLs8SgApjiwOy7I2OtWXKLFi2fQ9gnJ1lRJpXOkatxSHl2jJG6khzWHmsTfOF9CuafTuaZsB2z2Rxj0jJUYcbT6bRooIvFomjLghNujg7LsfU6xZFPp1OOj49LfbSGNnDM0E9YWRIrkImYpxInDUlTllSq0agoB4kz7hq6rhlolIvFCmM6nK3TajSzYblc5ic61mvlGEWPTSgarrU2XRc6fIbWos8O4uy8jTHhzz0T6ZmX/OklvWPtc5sVZYwp9CVFm9ZjRn0WM5A82GNa0cvwddTIWYxaa9ht2w5C3qQOY216bPkkhtpbNbKIRLIp9sv2m5xfIwu4pqGuKqwF3zUp5jx2+Fb6w1NPJ0lxy4oaoGAOk4V0z2hd5hORQNMG5tWcylm8b4kkaEQyC6a29ytON5uT8rtydemfZFkysCrfrNwTjDnEyHpzXAZQklcnaTkOIZKVf4nJifbb40N2oDFLKZPL9FpXOZcXgmhGJs60VL/eu60ZpDgg9fGxpD4LI5XPbVpMXySkKGnKwafFNL7zJVF+jMlRYWNxNhOCfM8qW3pD7of0p5mDaMrJHKwyrpq0lel0moXjrMAXkvxfhIAOCTLGUi13VJ/bwnhmMwaLe9JYe9rueIAzayhIr87sk5P3QjaEQJVTMDJizMYY4joUBuTyZOm6hhBSToS6mjKbzQpTiUwGglXTn+QUFigjMY50n2+7XnuU+ochVt6qkEgNX/R03zuVYox401shY9oYM1+5d3zt3RLqyLvP1NhjH0FxpuU10r7HgkE/d1y0JSDWi/eOrmuwtiqabAj1QGjrfjNqHk9rwd57L00CJXNYjdxHwJqIMeRzqm0mLeJJzweKc18Wdvnso8oKBgETIyaYnN/ZJ99AnnvGmBwtEmm35Co5q9wTjNmY04ypJxrRVNOf9yqJEIbgxcEXcl8Foh06sFIRxs1gYiembJTG3L8/XZ86uDDkfF2ZRGHI5LaZUP0zxUTWzhrtJZb3aWYdTk0873vGDHnlo8LE9eQa47NFwMXeGZJWrVUYXNZOJ4WZzedJY14sFiWIXpixtXawXFY0ZtQ7RQNL2GFVvmsBFw0pCXluU1dWWuXvJLjGh5S4xsRR9IowBCWshDGH1vf1yn0v+LK1FdNZXVbzibb2ZozZh65YSNEHQueLFmZzvUxUTsxsDcrE1BEGemz0+MYYiW44Pbcxx7HzbRvEs61sWx58lnZ7N8Z8Vhz2tmdvK+O6JkvZYUxaUde2LcGFAq3Je5JW6uhEsQkRn3PPSEltSX6moYO3/2Mwj0LZRSlfmepVrKa0wrPwJpvCHtM1nhD6kFeZz9p53t0d+h+Ue4IxA6lDs/ZrTcKZ60q80iHtXmBdmRhJ8sXckf0KquATCGFd1p5t7xgDMuaXf8e0tNYai0nL43vmoTBnGeuxZpAmQn6sMpU1cevvooVHYwoeGmNMlFCYCyUHMfSmfmq3Wgmn7rfWDAhSm5fjLHLlPACWqkrLkXdW54oWvFyuspOvZrVaAbBczgtD1vklptNpgVaKYFBB/ZI9TTRM7z3Hx8eDxT1VTlaul8ZrM1xMbGl75fpICWtT5jpjDFXWmEPoF+zYeox19syxqnqsOZmZ/UKmfuz60KuqsmXFmQhgW1vIu9ZEL0w5gkz8QIbFhnG88nwRgPJbY86bMMRWh8l5+r7R0MMYujjLfB6Gpw6Pb6Pzs6CMsXDR1uCYyY+/l3q74e4usnWcc31CImsDzhswFT7vWNAAtXVMphVVXePblJbVxhztZDUzFYaa6lDX22K1ExMvShLJeicm35J1aRcVydWTlALtU2qwQcIwPc7VVJUhBE9dT1gu51v7cFu5ZxizyaZFWaolURLZi7rNlJFllNZFbMhiLsbioLMuEm0yKwrByYotBwSbtS+FFWfvvHR1CKFAGX1d1UQYEWSqwpAINbHqZ8jn2dpEsphSFWWpsyQ60k7CtHw7PVP/ycRlQPgpqxfFuVe5CbPZLC8pNTmheVWgDIC6npYlyTp0bjKZlTaU5dA5njRNKGF+kJLWdDlxTCJuaz3O9Kk4RWuFXqjofhQrYjy5x4yjZ9wuWzYdMQrT6xn/wcEB8/kcay37+/usVqutGnOqS79atEAv2fIwOp9FFgpaa44xYhTuqJ1O4xWDBcqgF0D6uKZFGYsxA5UxeTOH05gm+z4+bb2edb8eiyGsZU6d31b/wjTtcC6lPmqR1XnFt+JVfpfKUtVZISqV6vvByX2qHdGcnnPFeost1jpQ/ZqU7QTLCU8q7YsSGpkDA5wnhsQXTLQ57jlQWUes3rrKfE8wZkMKRyodlxeSJMJVjrwcj1iWyUaRrslk2VasTczXZC1ccB/hYcZQwpLOmtzyXcxlTXTGDCffeDKMYY1tBH4WU9fv1YJIE+E2U1ObkzJZpR7yKSFk8/kcZ+scdZG02+SNrst5oODLmjHrqA3ozeOQU6EK89FbYulFFfKMECGaFKoYQ8A4BzGt+EO12coYhX4C6+eNF2TozxBSHLHLGLoxhitXrrC/v8/x8bqE/umwvTFjFg1OL/MNOXZZjz/CiFTkTAgpQ6IeTxkPjaPrsTtLYGv6OuuaNytvhfHejS6ljCM5tIDQ2r7W7McWw6DvxLA1CUJM9/ZWTrJIeoEkddO5ZqTfNTMf12es4WuBkSKbxCpkEJVlyj2iSEr/JD9VelffPu/7zJCu+mOGMUcTsZWjdmmpst8kiKHC4jctNeBFSlUVsa2JIeJixHmIweNCZroWbIy0vkvLNCcTnDdMOui6NGlMDIQmhbI4K1vOeGLnYbrE2JQsSEx+CwUrrfPgdqHLsmDY2eOBFkIUBraNYOX6sWbRssFNEk5qbSBEg++6FHsJGNsH3mvEUC/DriqJI+6ymSyZupKWOpvuUFUV08kq5cVeTqmqpEH4imakAAAgAElEQVTPZrOcKxgmU1nh5Mouxzorm9ai42SZ29ZjsW46K1EZwRpOTk7oiNhYMW2XxJC2ALPRU8W0Ia+rxBvuwcZC8Jg+TWhVJ6dL2zQ8cOUSe3t7LOZTQtslbXi6y+c+8xxf/Sfey+/8zm9z+fIl/spf/m85f/48v/Ebv8Hv/94zfOMHP8BHf+4X2RwfM5ntc+fgkEtXHuSkaZifu8RrX7iJrRxT4/A2YCtL6Fqa0DKNNSnw0iYHU0yrMq1NS3+D9wST/R5WHK95UltDsIZNXpadtlczxJzmVTt4LWDzUnEx5Q3gLMQQwUIbOogpfQGZx9nRPnMyRmnfSUtdOaztoZLCODMtCrRylhOxa3uoTNBWZyWFb8hMMqZ6ZkvHqbSwXddhqDBYHBOccThTlXdLQ5NATjlUahvwTU6xupgTw4aT9Yb5fIp1tih2xhhab7PF7YjG0mXF4xSDZiiImqbBE1ks5tlCTddWpLUMGE8bPF3lk1PeBKJpU6J9b6iqCdZUeOOwzuJNTQJf3lq5NxhzZMCkuhCIxdmVzdnqtBdb/x6HuBmXGMW6aYvEdM4lYs7XhC5pc5Z+y/uDpttqBmotpuya4Bw62Ym+blzGJp2u+/h9b8X8HL/nrdwj2mVVVYUxSwxyPXFULmnFEoEh54wxzOZ9ekydyU4n5S+MOcgSZ4Wj+j7WWZ7R94d2cHbEGPBhuBBF950O4ZJ3pl1tAjs7O+zv73G0f4D3nldfeY0Pfejbecc7HuN9X/kUn/jEJ/jlX/wFHn74YT7wgQ/QNS3Xrlzm+OiAixcvcvONF/nK932Af/Ox3+Rt73wXe/tHaZ/CkBxMJmaPe7ZgtEVULIYzxmKgGarfA3zeKEezwtIlL8g2+tLat3b+ja/VdDeGpPT7x/19NyhjfH+653SGwrFlNwjDi2x9vu7HgXZtTtdNaCFZYEOLVZ+D0QbAI8tBjm+LmtnWn2n8+jQAIVB8ICF6TBCa6LDxj1m4nLUGV1c46yCknYoj5GQ+AZylMgZDVZhvGUhrMFFL7MSUTQ552bQprhJxWOV7Y9cl5h1sXh6d0ovW036HZEc/GHrvQD+aWFK2wRDj32MTe4y3bdOgy33FaXl6ct6NMQuhacZa2Z4pl9jkzJiXy2VxBErMsqviICJD6iepDgf5mKNkC6tI+xT6shKr67q8ik4vf22VSazgmtFkLf1pUk4Lwc1j9Mzncz7/+Rd5/PHHef31NZcuX+QbvuEb2F3OeOihh3jHO76EL/uyJ/mVf/nPuXTpIm3b8tCDV/iBD38/ly5d4T1PPsnBwQEf+Ym/x/ufeh93bh+xt3/I/hv7XL5yjYODI2xItGaDweCYmLosrZc+2CakteAdw0yaKWvBHGMkqF2kJY+1VoDHwl6Yz6mVlVvKmDHrZ461STm+rYzv18/QddxWV7lfckyPnzGmA+mrMcPuhXNeJaocyGMlSGPy20qJ+FDx3dsUISkFpip+lIizYi0aDB2yE3ft/pgx5hihbT3BxLQwoG3BhzKBQ3YOdNlMLInDUat4nMUIrpk9+N575pO0n15nlcc/BLxJzjRX19icvSr6gDd9TgdjTIkmGIeESYSBrYaRBKk9pxmLMYbge2Y0LpqAwhbCknPpb/zblF2ztz3XGDNYHDKbzYrGnDa+dWVlX/AwmQjzTZbEfD5nMukhCx2Voa2Hvq69MyqEugTwS79W1YTJJBRTdrGoVRrWhhgDnRctJcFa/TZLkRC7/P6AD8k8NNZx+fIDfP6l5/j2P/2nWExTbPKT7/gSfuZnfoaf+8k77O7u8sQT7+Jjb9zgc5/7HM457tw+4NKlS+zdOeLrv/7r+TPf9p387f/77xCwPPLgo6yPXiAct8zMBLqIMRNiaHHRMKlqTrp1ips3hqgUgDJZTYrACaYP7ZTJL1Egk0mf3jWNecY2g3JoQYpMMiRcO5fK5FWNBsKWRPGaiemxsva0Niw0rnFjLTzOKts09DHt3k1pkTpoIaXPjYtE8Eh7hCbLsTD0FYzbr3caGWfSk+gfbf3owAOt8VtrMcFhsrRMAjFClIUmDcvlTlaCLKH5YwZlgEy4UDSCaA1Eg48eInSxKykwY6wG+JsnUuU8qtGAkQGxluj7RR8F8ghpPbyPgdilDRV3z59L+4nFYejX3t4e6/V6EK6lJb5ehqvbso3wJJJimyNET4Zxv5RncJpJj7+PixDQgHC1dqHqG2MEM6zfWKuSPtD9Kc/t6zx2RuYcG7bGW9ntpS5EryEPbRqnsLC0yCio/NtOm+CkZ1y7doXpZMLly1/JrVs3ePaN2xwcHPD0r/wK3/zN38T1B6/yq7/6r/jhH/7bzGYTHnroIb77u7+bv/t3f4T9/UO+8898F7/4i7/MJz/1WZ566r382I//BLP5Djdfe50r1x+kqiZ9THY0QJVN9vVAG5Y+17/vxtSgXwQydDpCNKe10XEZmPKRnNwnebUjfdw9JMaexiExZoCUKUbQYdSOMUaWSJTQzm0lxBQh1IdgKrw249wx1ynRmGDfQk/JAU+M/cqoEEoSMdQzLfTvGNH8dgWmjxIRa1H8PToiRmvkVVWVfUBFKGmlbDyvLfR/wru8z6keHHHqMVWA4HETtcvsm5R7gjHHGGl9pDImr8hxWJMGyUSXWmwNLiQT1kdTdvLAJcyv9SqEyVqMtVTWYqssCdtey+26wHK1y3K55F3vfIILFy5w4cKFxFxy/gfvPZvNhueee479/X2ef/55jo6OODk5KYOaBn87Y9af4zI2X2OMAyk+1J5Om4k6AmWb2amLOB0FhpDn1bUk9ZE6J6+ytRUhdlSmynhzTV33eLRAGVJPHdssx0KQFJXJ6QjgXM1sltozna7LfU3TsV6vFaSTJkfEl3qlpScqPaZJCZ1iiNicLP3CxXN82ZPv4SMf+Qjf8R1/mp0n383P//zP8x3f+2H+6v/yv/Jd3/mtbLqK81cf5oUXX2K/eYk3PvKPiPUOrq75Rz/9C1y6dIm2nvArH3uar/rgB/nMZz/H1ccepq5SyKAPEZxjYzpihMo6jK2IoUsavXFlxxRMwhjLGOVwK8pKMkPKa+3Kkvwe38wO5q5NjLM3kcq4pimhog9IESSSqzrfMKAf50zJSTOOb9bMSeOx2yw3XXTWwF5x6ZmdZmaaRrVS0K/0TKv2rAVZiavfLUx0Uvex9Jr29bzUIYT63cKwZS6UDTLy/YvFgoODg/IboK7rskxf95cI4BDS+onUD2JVR2LsWG8OSRtMV1Ruex9uK/cEYy6aEklLTgPT7xAd2uTVRknCaJOctz7nbLWZsKDfmNEYdnZ2uH37NtPplMlkwt7eHtPplIsXL3L9+kM8/sS7qOua2XSRpGtlC3whg37nzh329vYGuV37rdJ7k0djh2PHysnJCdM6ZTLT0RryW+OPWvMS4kg47d0HVk9uTThCiJqpyvtS5EWt8O2cZwCPdbWaYHnvxawfDDXmHndObR/iqiDYYKqnszUxGIzpoxHEqnHOcHLSO2k2m2E6STE3u67j0qVL1DYtcvnkJz/JAxcu8uEPf5i6rti7fRvnHE//7u/jMdw+XLOzu+LRd34pL71+k4P1hgdnK373d/+AH/hzf5Zf/dWPced4w8HnP8/LL7/MZ154ju/6ru/mIz/+D7h+/TqL1Q51NcVjWC13ePb553j88cc5vrU3CMcSCEPqXyauYl5j7HPs9JVP6ZfC2GSuaGdZSClOozi+QhjFYQ/pQ5vmmoEJg9S7icg1Y4Vh27PlPJBzWvQ+DY3Dai1U2j7OSS3vFgfx2JrSbZxOJ+WYMUkjrupeqOgwXJ3RTzu+pV11XZekXJ2CQ+WYthAHc40Eq0n/Sx6OJFw7qqpl8ofAl+EeYcwRkU4m470eSZlcmF0Uowq6GErMqnMOV6dOi8ZQCUG5NDgnR8eYCJ1v6dqURvLtb387Dz74MJcuXeLy1es5XndZQpy6rutzJwTDpJ7x9rcdY03FjRs3uHPnDgbHdDIpm72eBS2MP0ubRxJcl17a3305rC6acckz9J8271Kfe4zR8cYdxthBNEZVVSlaox5CIWPH0dihEnyO7zZ+8N50nda4p9TVdIRnxoEGnpibHWw1FWPKQPaOd7yDb/zg1/OjP/ojLBc7/MzP/AzvfOc72dvb4+brr7FcLrl45QlsNeMzn3uBGzdf43u+53t46JG38fzzz7PcOU8A/slP/izvfe8HuH37Np/93KfZWS7ZPzzg5hs3qSaOF196AVzFf/rN38rt23vEynLp+lU+/+oXuFi/dQewFr5jR9b4vlOm+bZBD0lZkXudTQpLsKcdy5omKmeH+cCNIcRY4uQH9RjR1lioRIEf8p8xhso6rLEJE88regkRl7FzY1Ku6UQTyXlbvBPGYk1MYX5RtqJKFkb5bvQOPUONOcFx/QIi0aK3QXpjR/ZYQMgzx87CgUWbd9mRvxhC/szhkqbFtxZfnX723co9wZgBMCn5EBhMEIKICZfEp51GEmxFXWdNwgB52Wrr+0Up6bjs3mry1vMt0+mUxx57jG/8pm9lsVgwny85d/4i0+mU1WonSTvfIlnNNpsN8+WCk5MTJrMpFx64yMsvv8zTTz/N8fExre+wZuhp12bSICRIlbFJpyfQAMsKI882/YQbm5fj7/JcCQPUkIOeZJ1viE2/y3fX1ciO3oPhMSnXrHNVv4HliOAL05E8QsGRo4Xwvg+Pm80WpMTjSSvZNBXHx8fZCsmaEr44XZ1zfWIgoG0C1689zMd/9/d57OHHuHz5Or/5m0/z8IMP8S//5W/yfd/3ndS25rd++5O8+MovpeyEXcfJyYaPf/x3eOaZT/G93/sh/vE//mne+c4vwZqKvb3bvPbaa7zt0UfZ39/n6OCEX/+1f03oNlQ2slkf4jdrlvMZN27eZr5a4ReebrMm5G24QkxL+QPgY4LcAkmo+GjyDtHkKIT023cpEqVnPKmvTf6toz5S7pyssaQJkkL4Mt3oaAKhAy2sRaAmrPV0TpUxfirH5d6xMiF/WhOG5B/apnDoyB2t/YpjdyjA776bjma8fRuzgtT1fhBtzYiDW1toGrLR145xaa3xD+fFaYtCrMQYYtoaLG9i5erT+3KeVe4ZxhyjZBQAYkIYna0IJuX3JXaDxD1i1Vubso7UYvbboXc3NA1tm0z2y1eu8uijj7JardjZ2WE6X7BarZjMZkwm8yQdQ59+UEzRuq7Z2dkpmvTu7m75rnEm6D3GerDGRDo+dpbGPFhKrspAY9H9t8XM3PbufKYc0zBM17Xqdy90tmnJ256b3jd0EtpQ4VxH12kmntqVEs/Xg+dpM1BbAFLXZc5et9k0PPbo2/ixH/sxZrM5L774EpMa/unPfpSd5ZJzuzOODg64du0ae/u3qYHjO29wbm54/tOf5PoDS/zxUQpLW69hc4TfLKhCoIpw67XXqAxUGTM9vv0Gn/zM53jPl7+PTdfSHp5QVadDFc/SoDWjHE/os8qANrZq46ezu5267y51GdPp+N5t1pb+reN9pXT+9MrXkngsDuG6szTRseIxbodmgv1SdYpzX0cNjS09UZ6k3sKkNb1pITFuy7Z6jfso1zTXMaXX9XcZ53G5Jxhzr+mKxpzhCN15WGJOdN6Gftty0Qq7rivMOka1aqrraJqGa9eu8cgjj/Dwww+zWq3Y3T3PdD5jsVzlnL4VwcDUSO6HlGeh61J84nK54uRkzWw2Z7FYcnh4lPcbHC5C2WbKalxPjkm7xoM81mIG2nHsr3mzcrYkT8XZlEt2HKJ0WitSDFZNUqnTmCkBhCD+8/5emRiJyXdZgGVtPlanGL2uUzLl+3O3b9/m4KDi8uXL/Hd/6YcA+NqveZJf+7VfZzqxHB131G7N7u4uF5eGg4PbXL24y8S0mHbNe971JSyXCx659uX8wSc/wxtv3EnZy2Lk+U8/y7Ur55lEMGuop3C88axmhleefx5/eMT5xYIXXnqZi6tdjo7vbGWM2xiObps+t23c0jV9+21MLlB9j0OcivnemCzLFL4lllfoNWpIS5dj2vQY7UCU6Iwtltc2xaHU06akQT72WdlStpr8XwRRAmKIScMPMSUgM2BCxBlFdyGA94m5jvNu5DppitP5Q+T9xg6jZMb0CwwWOEGfLGzcdrlHC4qBcPEBfMqVIhExZU6UNuU2u39PO5gYY54HDkjrkrsY4/uNMReBfwC8DXge+LMxxttv8qQUh5xRZIuDKGZKjlcOvnivbdUD9j7GggM5+q1ghBiXyyWr1Yr3v//9PPTwI8zncx566CGiscxnS6Y5V8Ry91xmnl2CKXKy80Baibja3WXTtgTg4UcfZd00nGw2+LzrQu6Pgbf5lPbihpqJnNumHRhjcCr2eqyJ9p/p+rFkF0YoRKJ3bACI2RKQxCx+2lLFqjg1h3hol3aVyP0s9TPGlCRHgwkch+a0mM8ygULoPflVNcE6isOlWCrR5eXgHu+h7VQcs4e/8X/8LX7hF36Bdr3hc88+x2//9u8yqS27u+c4d26X2zdv8dLLN/jyhy9x+fol/sx3/inatuHKlSs07TpZUJcvc7B/xOuv32A2XbG/v8+zr9zgk7/3cd7/pU8yqRxHB/tcu3YN52qaAJia5flLvPbCS8ST9ZnCWH9K0TkxpIydcadmhmJKkBjrNr1rbFnIvWNHYP+87T6QwRZhZhyfTnnHWRYOpEggqZPOK6KFjtZIJXpFC3ljzClGWeKWlcNOrNakwOTl1mp7MA116HkhSoXG+sW5rxmvzpGt8760bVsit/o84Rke1Jq3jdgAPlhav31Z+7by70Jj/qYY4031+4eAX4ox/jVjzA/l3//9XZ8QA5Y2OTKwtFYYVUoU77tIVU2xNnWeo0umQe4sg6PJ28g7ILTZiQSE1YxLly6xvHCVan6exbnzdKFmsVjgqprFfEVVW2qXogmINdNqisuDWlnLfDqhdpbKGmYTx4PXLrN3+yZHB3e4c/swJVzPWrtAH0JIovFuNhsVQ9nv0CHYr2yRk6CZYZpHIaDKJYx3s9lQ2aQN+eAx2csMwriTRkIMVG6CMQFDhyHmGFaLjTN8k3JsOGcJLUQXqSd1zlmScjL4tkvxr9MWYykLWaxJO0k0zQnQ52VOE6ItEQTGgEHi0yNV5QZMoKoqWgKmrqBLOVA6KroYMZXBNy1t9Kw7jzHgpjXX332dX/qNX+EXn/5XvHzjC8RFjZ9suPrALkd7t+nWG473jvnSR67w1V/7Dq5ducr7vuJRdiZTnLXsThecnKzBONzlB7h5+QH2jhve82Xv5v2m4+Cb30e3PsF5T+U7fONZ7Z7jt37vM3zmhVd4fbPhg1//tTzziT/AbzrWJx3RW4iOiYscbW4SbMrvEYLFB4ePNZYs7H2P6VfKkkiJ+vtUpk2TduUw2SltjEk7wPuseCgLEQN0wih7mKtXFJKSkwRdBHGuCs91FuuSr6Zgr8bgDcQYmNSKVRiTtfeIrV2CzJ3B5LSowbU9xKC0zK71YEkLckqeZHDRDfJ6mBJdrRQYDM7mKCGXacuaksc7BE/tJrQ+sJguFIad8mRY6wrjXa0WYDqq2rBer1PiLGPAbDA20rU5rwwQ2ib7GwNtuyn4MSRB6zNeHwPQNpgQqKOl2aR1F7ae0HlLFwzL9j9sEqPvBv5k/v4jwL/gTRhziIHNZpOJSGOY6bw2xdNf24cUuUmJP/Q+SdCqStnSlssl569e5eLFi1y9epXz5y+yXCZ8WRK/r1YrXGUKw4gha5ChKqEyzlnOnTuHc479/SmbzYZz587x1FNP8fkXn+fWrVvs7e2x2WzKNueSOF1w1MViURi1lsxHR0dleyHoNRctscfSG+hXHtrtMalnYYJyTOog2oJs4STfBWeX9qybTb5febRtXcZMa9NjJ88YztHHYkxbBMXOlwUSJiQTMXYeh6GaTPHtCU2zpms873n34/zs//OPuXXzDjWO6aTi0euXMX7DI48+zJ/+pm/j889+nquXrvMt3/FVVCZvudp5YtdxcnLCcrmiaT0HhyecW+3w6Nuu0UUIFexNJsS2YVFV2GbDwd4+JycnvP2xh3nyPe8hLM7z+Vde5dwHnuInfu6nmE5W7B8eU5sJa98wmU7oos8bdQqzSYsmdLu14JUx1pqo3hNQQ0haKx5AScboj8KcUxma0WW3lZEmqzdB0PRSV6c1TQ2PaUcbKs+J9/28lfdpXLw/NnJ8q7ZpjTxBGb2TTmv0YpVpJWFSTYoCJ/Xrui7vNtLnezaGrOlSNF7RyIESDCDrINo27Q3YtJ7QdoTOg0+fJcFSVeWVnyFlRoynYb+zyh+VMUfgn5kEav1fMcYfBq7GGF/NHf2qMebKthuNMT8I/CCkWMQxBicEMGZUIaRdBkoyeZOhi5BWDmIN08k048i77OzssFwuBx7Zkrgn/7ZOmeKZ8Yg5JNeOw2zm85Q4/rHHHuPq1avFrDk8POTg4CANWo6HrqqK5XJZiGiz2ZS2vPHGGyyXS5qmOYVVHh0dld+6bySCQZgzUISAELfGpzVDFMJfzneTFtYDj0QCGEvnW9quwTrDyfqYpnW4qk9cVNfTfow60Ux6+EIm0BhXH0M2hWGX/h+mjqzrmvUmaWZNs04rsizcevU1brx8k7e/7THuvLHHg9cu8Q1f/RXsLGquXb7If/LEkxw/8SS7811Cd0IXobKWqasSDNakCI3FfMVxs2Z9csLk+JjOe+bnz7Oar+jsmqlJPoraGebnzrN39Co3X3uFdz71IO959zfy2Wef48d/umO2qnhjs2axs8RVhugaXIQoS3Sl/SGcYj6wHeJ4K791iTGCLRwZJD1/fo1AvSYHgAjH1mMiWvyYMaf69kxSK0nbhH6gFzgaeDkLf/fSRzmTus31Dzldb6lyDJAFt+5DHeGhaU33WV//fgef4T0iCIZ8pwjRbuhw1M7+gmdveW/XbjC2ItQdh/t3zhy/cfmjMuavizG+kpnvLxhj/uCt3piZ+A8D7OwsY08IPX7VdTnqwafGiuSrnXR2vw+c95vCNM+dO8fOzk7SjJdLlssls9mM6XRackUIoxZMShLidO2QCQqDk1wTs9mMnZ2dvPhhwyQvMBGM9ODggIODg8I4ZXmnTgSvJ8DBwQGvvvpqCZrXA7+7u1vqoQXU+fPni0Z+dHS0FRuTurdtCv+bTqeDULnDw8MSaC/CQnDXrusxZcHw6sm010ImvuRnntSzU9rVGFuVNkgR7arcR9/PzjmFUfbYY4yRybRmNpuxOTjh4nLO5uCIy+fOsTOdcXDrFl9y/XHe+ejDrA/2ePjKQ1RM2CdBMecXc6b1BNMFDpo7NM2GODPM53OmMe3Ltuk6Du4cMTWG0AbWoaVuOwiRw+M9uvUxzgae/rV/wbu/7Mu5ev1BDvbusJgtkrDd8UynUza+7RlimaxmwIB1dIs+Pma+2/pyfE7e4ZR/oy+W4qCOFsl5oJnxuE7a2inCNZ4WDGOmrp8zZtpvVn997CyMvmjn6vDd+ifVJ1d+9JxIH58s7ZB0rP08GjL7Hl5VG9ZG7f6XOO38vFy3yhlmdUUzWj14t/JHYswxxlfy5+vGmH8CfBXwmjHmetaWrwOvv5VnjTtAmFdVVUQ3DLtJy3wtaXfikJcOT5nPFuzu7nL9+kOF+br5lN3d3bJwYrx82HuPiZGuy1IyDgPBNXFWVcVsNuPcuXNlA8/5LDGRtNuy4erVqwMGK1nppF1VVRXHASRN96mnnipasGaws9msMDAxq7quY39/vzx/f3+f9XrNrVu3Snt0Xg/JDrdarQbLTwluYM4K897Z2SntHiz0KJZD6gPZ3DTGiMESQpf/woDphNCHuQmTT5uhiqbh8W3H+uSI9bpJbWw3BN8Ro6dyCT5ZLhZcvHiBBx+8xs/+w59i6iw75y+zOT5iUxseefBJKhO4eG7Bweu3ODq4yaJeMltOqZxjMd2hrio8LYGKk80R65u3CKZmtliyafc4PD6ijVPmk4rN0SEudMxoODy4w42brzFfLHj1xst0IfCJ3/nXnJt/HY88eJmd1Q5PvOMJPvabv8diteLk2CSndBAmAOPVkrro49qqGYeiyW/t0NN+DNkxxVi9GMcjS8HTgZTNTaI5BgLSmAG96XmgV/BpepZVbjqcUeqmGTyk3M2pTn3bx4x4bCkPNHF5b2VPvWfsdO/hkC7P7ZgTcaW45M730J08Z71usq8o70gSI22TtP/1eo33MVvGjdKYUw7smGH+aNLyA8mdsczKhLOBln8PGLMxZgnYGONB/v5twP8I/BTwXwB/LX/+5Js+bICl9gMiidZjoGh/TdNg6uxxjgEfI7W1zBZLZvM5s+WC6WLOZDqlqmuWqxXL5ZL5fF6YtWh7AmsY2zsitjlONaTRtv2KtMS8bN7xY5RVLBOxQAwAx8fHBRaRCITFYlEmZI93DaM2NDbddR0XLlzI3RY5Pj6maRqOjo7KuzUsIsJItk+KMeZdnYf1FKsA+lweKadCzk8wnRfhNp3OynMnkxmQnIGi9evJoifVOFpE6jKbu7IPoPbE90wjjY8xCT986MErPPHEu7l18w1Ct2Qxr3jltVcIYRdbPcXV61fxraf1HXO3ypNuwzqsadcbDg9OOD5aM53PmMySoNy5sOTixfPcOQyY0GK7FhsrnA8EDJceuMILLz1LXTvWm4ba1XzmU89wfHiACY7H3/mlbDabwlg0dkzIu26MIhy0trZNuxxHWOjz2ywU72XHF9vnGhE/jXw36TMGzbx6ZqyfJ9+lTUIvokBsu1e3S+qpP3Up75NwOZPgjLTn57DOxphUZ4a4+hh2GL9fRyXpVXzjKCVjkkWjmbW+ruuGqRjG70pIhsmpBlzSvPEQDMG3NJuGb/+2b+F3/87fP9UP28ofRWO+CvyT3CkV8OMxxo8aY54G/qEx5r8CXgS+7608rOu6zID6ROwCVRhUXlpraXnoRu4AACAASURBVNpNigrAsVrNWCwWXLhwgeVyye7u+cIoxQmgl15K+Iw8K4SAzQPfti3W1IMoCa3JWGsLY5dnJI0umcRjggghMJ/PC4OW3MXjQZW69rBMIgbZ6FSunU775ctCHJIp68qVK6zX66K5i3YlGo1AGXLM4gaMVJiIME/dZgDr6nIuPUt2Le6vMT7ny4gpuiDEUKJA6kld9mab5JzXKQphSQgTrl+3HB0dcXBwkFdbpcm/s7vg05/+BB/4wAd4+umP8d73vpcP/skPsrtzkU9/7qO896mn+MynP0G05zn3wEWW53d54+VXsFQ89uCjeGpu377NJm+Uerh/QLtuqSZTDo/XXFzsUOXJuLOzQxc7jG/xmzVXHrjAyd5Nbt54nbbdMJnOMXTsvf4FooGLly/xtocf4pd++WN8xZe/j0lVs7e3h4+eaFLcqjF9VsGua8tYCx3IilRtKYkiEEJXxgL6mF29Ck8zRA0fpG2O8v6KZqiJWmvwYRj2JnNBFBapT9lySy080sxNr3KV+jeNV8yrZ8jC9CQqSSsdwvg1zYnyos8lGh5q+VKE1pumKdCjq1J7XWWI+NJugyMGgzXZEvCB2XQBJsF7wVOiNcQqPzg4LGNWrM0goaV9FImk/7QOlvMph4f7XHzgPN/zoQ/xv32xGXOM8VngqS3HbwHf/G/zTAlFEWax2WQzyShzzRiq7Hyy1nL+4kXOnz/P5UtXmc/nGU9eFA3QVqZkWNMOsVzXwadqQ/mUP2Hw1sLu7m7RFIJvB8+Vv7EnulG5WPV1QuCr1WpAlFqT1b/l+rEQEKhD3rPN8aYneCWblPrhhqcpMdPQSWqMSZsE5YlQVz3eLAxaFquEkCJsdD9qLFX3bQiB2WzG+mSf6WTCud0d2gcu8fridU5OTmi7hqOjPb72a76Gqo78xb/wF/jRH/0Rbrz2KtZMuP7wQ7xy4zV2L19kurti99JFbty5Q7SO5XTBnaM1t2+9xrlz52i9Z1JNeeiRK7z00ktMpzMuLeasN8esmwbbbXjp5RdZLh9gNp+wOanBGma757j62NtS1MreDl0MPP7e93NwtM+tW7d497vezjMff4Zf/sWfx03OJ2vFJaHUdXkCxxQA1ub+Fs1aC2QtHGXSr1aLATQl5Szts66ngzGt6ynr9XE/Bk6YtmGzbgaMcQyjCBMUP0PwXYn+0Vag/j72HaQx7rXV8bzSDsTx3AHK++W70K5ekKJpTPwp2mJpmnWmPVfaVFUVzUYt98/1bJqG+XxK8JR+X6+b7CtqOTk5yZq7gZiTRpHCODEmpyp2bJojlosZi+mE46M9dlczbrzyIg9dOn9q3M4q98bKP7R0ZDDQUjS2JYxjMkn48e7uLovFomizevcBgQ7GpuAA19J1OYNZ90yzXyzhnCOG0/mKNUQgdd/2bE3cot1DH66jj2nGLO8HBhNJHI5yXN4tRCbHQ0hxxSGEQd/IO/ROJaLdGdevwrSmKvWq60lmvGrnF4XhnyX0pG7OORbzis0mR5WEBL+cnJywadasVm/j8Gifhx+5ymc+8ymeeeYZHnnoOpN6xnw+p2tadpZT9vYOmExmTCYzmpOOzdrjN8dcunyVO3fusNm0LJcO1msuXXuQGzdu4E9OqCc1F3ZWXLt2Bevg5NgTupbl7pIrVy/TNA1t9GnRkbW4WcXe8SHz3Ys89fbH+bpvPs8//+X/j9//g5f4gf/ye/itj38cU8O6XbM5OeDYn2Cdw1EzX6S+1EmiZrMZTdMUqEovWtDOWaDEwksI17h/Y96iq21bJJFPoiVf3iv7+02rBFuVRRtW9gJM1zZNQ9M0KZzUOdocLgl9FMm2OWOMoVXhZhKmp+fyOO9GFwMxh40Y5aCWnDXpQuX8j0NsWTR8HcsfihAc5l2ucvicQfD7DDtEX7RtGYeuCyqyqs7zPSVdKsoOIcVq2xRrGWwoAnJvb4/HHnqAT//Bs/zAhz/E0eEBb7XcG4xZMTOJjoBeAktAvmhxF69cLmFw586dYzZd5EiJPgTOZC17MukdWNrEH2qtfT3MSBqfIn5FUMYYaqWNy7Xa+TfWbLe1XaJD9OTQZqNcVzBL+kmgzUpZhaevEa1D485J6+gdKFqwbIthBagmNYL/Axj0hLalXwGm035llq7zOBdBqp/BUFNVa0JOmD9fzLKmtsFVEe8f4IFL5/mt3/oN/vyf/8/5Fx/9OeazJQe3bvEX/+v/ht/49X/NlYszztUrDm/sc26ypHZTmrXnxZdf4vz5i1y/dI2m6/BdpG07TD3h4OSIc9MVbfD82q//Guv1mt3ljGbTcnSyZrnYYd12dD6y3jT81b/+1+mCxzvH4XESdO//0qv8jf/9b/KX/8r/zNf9ia9hslhwEhoOD+9wZ+8NDm/vkdakOqazfudxjfc7lza41cpE0zScnBxx584d1ut1sS4Sxj89RY8xRgJJOG42JyrOdp2/91FLALMsUHVCKucct2/f5vLly4QQWK/XxSm9XCyKJaTpTKe4lDbN67mKSurhuT4h0HA1nan6ZPaiQYvlpeGZnu5P7ygi9CUMWBS98+dmxBjwPpY86yFMMxZsqCqxGNNfjIEQyH9poZr3gePjfY6PRPv2xCibbjSJWdvkVO3aBC+eHO+znNZ86pPP8j/9D3+JP/fh7+PGq184Nf/PKvcMYxaPvZrf9DthJIxUtOILFy6wWq1YLBaslruKsUnURV0IRb/jrdZl2/VaYweNPZtTjFkEihBUj+2dnW1ubE7KO+W3fr9m9vLesearr5Fj8i5jzIAxa8++roOeDKI5x6gcUEXrsIP3a8eK1EM/Swscay2hWTOrJ8VaitZBDWsixqbdiK9eusz+7Ts89/znWEymXDp/ga6FFz77LK+//BpXdx9l/9Yepplz/oElJhpmbsLFt7+D5557jh/7+z/BKy9/gddu3OTO7X2q2rKzs8P73/cVPProw7z9bQ9T1ZabN1/n+GSTok8WC16/cYs3bt/hX/2bf8Pt/Y6Ll3fY3z/g2kNXeeqpp/iV//ef8X/+zb/Fzk7abfzy5cs0xnNysuTc+R3ay2sqXMqCWJmC0UtfNE3Dep2WiEt/zOdzNpsNly8/wGq1Kg5eUSzOxJhzxIG1FN9D09ZsNhvW67QFklhhsUsMSRzhModE4ZHxWq/XbDYbnDXs7e0lxjufA5zy1whjbX0fddO2vl+c0YkjTi8WC3jZgXqUL1wsA2HixfL0zUCZkz8RXMvlUlnKXemnPiyxYzqZlzkpcFzS0DcYM3Tep0VrVbFehC9Za4lYMDYz5qRRt82m9Of7vvJJvuVbvoW9vT3u3L61jeVsLfcEYzYM95KTSe69eKxT9IKs2Fsulzlt57yA/JqZjLW9MZPahtHJdWecGhBAj68O904r7RnVQWsUp9qeNaQxviyENPbMj6EMEQKaqWpNVZh6z1jzaqYQBwJDT/axgADKUmxhzMYknE3eof+GeTGG2yWNw5y897S+zfs7DrWg1WpBpKWqLKvVivV6zfXr17n1wosQIrPpjFdffpnjwyNeffkVrN+wM3uY2EEbWhb1gp/76Ef56Ec/yvPPf56LD1xmf/+QxnvuHGzYPzzkU//oFS7twPf+Zx9itVqwnFhe+cJrXLxwmd3zF3nmk5/g47//DC994TVwcOPmAV/1wa/iKz/wft71rnfxJ564zt//yE/yNd/wrbz44otcvXaVY79hs5mxe26FC1DhCF3k8PggOUKFOeYxFmYtGqnsmGEtrFarARylIbJT0Jips3W07q20mFY6Hh8fA6Hf0cYOo4v0eAsGPp/PuXLlCpvNhs36pLxrZ2en1F00Zr0q0LhecYkxLXs+OTnhYP8wX1sPaOsoP3vMmFerFZCgPhEQxqS0CJpZ6zDYuq7Z3d3t/SSuD7OyVtKeTopSkZQ5iTCa4JwtgnCz2XD79h3atk2Lx6bH2SLpV80aXApBdI4YanwXcTGwmNeEZs33f//3M5tPeeHZz/HG66+dmv9nlXuCMYPexy3KAbxvWK3OpR1HLl0uWPJqdbksFkmRCxQPbK9VZM2RDmMikZa0Y3MHeduqEDusqyCvtXfO4LshXCAmWW96dYVAvPdY00dVaIbaawy9N1tMLWGSgo/BMEuWTD7NlMdMXRO2tTkpuRw3ENUOywGDUZaIVRmwtFdeC5Dx+1p/Oj4VhJEGrEvWA0QIPm8hH5GEWt57nE35EAYOn9DhpsmMr6JJu8/IZrvZsTSdTHj9C69hcdy69Qb2wlW+8P9T9+bBsiRXmefPY8397tvb36t6tb1aUEklVVHaKAkxEgiBYIAxjBlEMUy3zTQDjM0A09OmnmkaRA/QzQwyrBE7LUBiF5tYJIGWLkkUVai2V+t79ba75809Mlb3+SPSMz3j5qsqAdNWuNm1e29mhIdHxPHj53zn83PCiFJJsEAXUQpwVMqR5TXmqhmUwa41+LXf+2OcvQM+/B9/iRcuX2WQJLR6XT71uc+xu7/Hl770JbxSRL1R44/+4M+Yq9e588Y13vSVbwLL4fzf/A2PP/YIV/da+HNVag0blUquPHWRg+c2+Wss3vHed/Dgd/8LyuUqH/n9j/H+D/woT21eIxMNMiWx4gQ7lThZRsb6+Lnq568tW9OiG3sf9vTCpuXKhLq0nOYycziwbHpQJjacjaqMFCuWuK471bfJCtHNTNozy0szA3D6XrUSz7JsxAk2Ug2o6e3dpvc1YWipcVk3M5Bu5pvRMYtSqTS2mEv+BKYx4To9F8vl8lRgUeSb98cwi76m/tv0YgFsp4wtLDKZ5ln20pgsCjjY3SGNY+67/80020OizOOZZ57hlbZXhWI28UgtgGpUy61Wq1Gr1VhcXDR28E34yJ43wshss2rHJMiVyelMaab1PKuNXSw1nQ/APNecLEqoGRNkkljb3GBiThYzwDHLkobDJad0M5XjWLEyDT2Yx+r7Mq9ZnHgTN+3wZNPH6b5neQgTKhNTmxeKlrLpcei+LFuM00MKSV6zUUEm8q3UwrGpleZYXF7i8tUr+L5ASEkaDomHAevLS5w61qBe8Sk7AtdKOf/4I1x89il+9sd/itr8PBcfeghp2Xzh0Ud5+LEv4TgOjcUFBp0288tL7AQDWoMefvUsp2+5Ddty6McZ7b/8K4RjkSiLZqfH0vwS6yvHsBLY29rmk5/4C1772ntYX9ug2WxSr1Qp+yVSK0+uY9kOTqZwsoxEWofekakYtes+tqgFh96HlHJqI5IJoRXzYRT7N5kRcTicUswm3GRSS83E8ua7nMXAmcW80Odo709j1+Y96BS9+rPiOLSMac6/mfuiOH/yuNJkM5nrHC4enGctVFPey/ge0snCaeLiaZqOIRwzICtH71SlGagMS0mS0KXmuWysLbG1vcl8vUa1WubEyZOH3s/12qtCMaMxUEO4hBD4Xnm0tbpBrVYzoAvNvpjAH2q8qybnFOoVWmFyKmczBYqtqMCvB5Ho74Apq1oLoE4PWBTWImxRhDzM481JoFsxkp67VIeJ/MXrFvudhUdri6DoJtsjAS02EysuKvYinKOPM4/J70Urc4WyBPboXkp+mTQLSbKUWrnG8uo6cZbCMN+oU6qUUVnM0SMnuPO207R2N5FxSGt3m87uDm98/d1c298j29vhP/3Wb/L4+adJERw7fZrHzz9NpVIii0Mc12L52AbveNvbuXFjhfUjJ5mfn2cQCw5aId58mVa7R5zClWv70Iczx07gVxs0m9e4fPEClhQEgx62sPAdG9uyyMjr8bmpwrbUqGDq9MJZtKBhophTIz2qGbeYxXDQFnPxuWtPTsvjWKaVnMKrtVzqILKpmMyq0trg0eeYEJmZ/Mfs07xnDT2YGzWEPdnZaj4bk09tWVa+g862x1BDEaLTcmZCG7Y9vYtVK2OTEDA1Z+RhyFPDKubmqbGBNlI7ArDJkFnCXmePW2++gdOnTiDjkCQOETKj3f4vlyvjH6UJyKOkowe4sLCEMwpErK6uUR3lu3Bsb+SqjHba2YCQCEvgjqLLuYDEoxcdg1BkznRe15dqYzdMTqg4oMbZ12BCMcuJ6NOKV4hJ/g6Tvma6UkU3NAwnmKCeHFrotACaLpQZSdfnSGOtKVr6pvtXVJRaIRQpUMUA4NREMqx105LWlowtpkv16OuMg0MGLmnbNo4lkTKHQSQCy3HGGKDjVZAqJZGSaqPB089d4PW33wooGtUaF194gdPrizT3djm1scHmtSusrBynUXZZXN3gM3/zef70z/6CucUlvuodX0N/OOTPPvUpVjfWOLK2yrPPPE27P+Duu+/m7ntfz5JfIVIWL27uUl9YYnF5kc3mAdKCJMll9f7774c04+ErX8RxQvb3tlien8MDDna3KTk2sRBIYeFYLo4jsRVgOVOLtykzSqlDua0dz53yzvTiX4wrFBVzMd5ienL6ejJNpqx37UnFcTwVnNRBL81yKCpmnZBLy5AeUzHuoWVIK2AtS2makmTT2LkZwyl6hgD1en0KSikaHaYitq1JyoZicnx9vPl35h32BvXYtTybXoatIIvzdKHEEUkMdz/wRoaDHjVfEMkMW9gEwyGLK8u80vaqUMxKTVyQUqmU57YolcYKuVwu43vlyaYHb0LpsvLKUqMHmFNx0pGyzGR6yEKbZfUeHs9s2GGWBT3rHBMLNPsoKjvzXP3STaE3Xbai4jYtEqWUzk0zNQFNpWvymE3LVjc9CcxJrPsDSKWaUsxFS8u04kwe95R1AeMESXry6Pp++W4wgRI2WDaMsPuMPDmPlJJKpQIKvFKF4TCi3e3T7g/o9EMst8QwkThuGWHnPOjd3V2+8PCTnD9/nsbCIte29xhEICyouD7Li0s83E5YWfD4hq9/D8ePHmP3xRdZXVwCKZlrzPPW+++n2e/QSxK+7r3fxHx9nqQdsHtli7W5BsLap9sNaNSr3HXHbbgizxNkI0Y77vICtJYCZsiiudOzuFiSzvZATFnTC2CuWN1DcjbLOs+hr0lg2FT++r1qedALr/mOTYVeqVTG/RdxZb2IzApqT8F96SR/symjRYaQqeD1NcwNVSazaEwNVMlU3EYfaz7X4vw1n5e+fh6czuXZzDmThhE4NqiMTMXUK3XqVZ9+Z580HhKFfarVKkHQn+lxXq+9KhSzZQmq1TqVWpVGo8GRI0dw/VxBO26+0mkqTO6KTIRGiFF0OJ1Qa+I4HCujcrkKHN5abdJ7tH5KkgTHnmY8wGGcTwfsTKsAJgpQB/y021Z050woQlvis6xT7R7CNK6lm6n0dAKbIkShLW5zkTAtb7NPHRAxlbL+O8mmk9eYlrNZsSIfy0TITfdW83HNrbZpmhJnEZbrYtku2JCkKVKAKyCKhthCIchYXVrCtSFMIcGhXp7DKs0TizJWeYmBzCjPr7PfDTl19hyt7pD1+SXecMednLvzLm699Ry9wZBBMOSee+4hGPT5uq98I7fefBNHNtYgg/mqx97mRVYXllD9NlUVcOOtN3L65rP87ROP8oUXr9C+tkvJcTl59Div/+p7ufD8BcJ+zNe+69109ndZu/Emru3tjvO3+LZDHAzJDAtPv79SqTQFZ5jPHGu6gkjRIjUVYX7M4SRJpjI1laZQh613La9aZvXCoSELk3mhr13k7GtZNfFhc/7p+zAhOpHkm6O0HJnybibk0hBPtVody6tOQWBZk0yKJrvLNlhTJkdf03P1NfXGHs8oXqzl08zzHEXRGKOOoijXRQ702l2OLM3j2Ios7nF0bZ4sjamUPZr7O1i24NkXnueVtleJYrZZWlqi1sg5lPVaA8fPaXCu549wrpLBt83IqS85hzaTKTLLM5VNXniKTsj3Sqxk3YoYWXEVNV0mYEpYTapPcdXXn5sLg3mMuZqaq7j5WXF1N68zxcoYNX29/Bkb1pJ1ODuX7s8cm2mRmZPRhEO0IteunpQSZWSC0pNfwxfm9tzx/UmJsnJEFiVIrfz8dvuAhbl6Xs5eSpKwj4ogjWKiJGUwGOCVKkhhY/tlhEwQNjieheWVqM6V+fp3vSsn/IcRnldioZ5y6dIVfv2XfpnV5UXecM/rWF2YR4URcRxT8mzCMEOlEdiKE+trlHybuZLH17/jAUqlCk6csXtlkyxJkHWXYxsbdNt9bCX5oR/6QX7xd38/r/oyUiz2aOOBcCbvb9rSncBBU+9whsyayrJogTnOdDY602jQn48/k5NcFbMWfN30+SaVTcuMKfPm2M05YsqKCQGYx5iFUSf3YuyuVdN5NcxrmEE9vXiYUIglJh6duSO4aMXra2ajvBjaKh4Oh2M51ji37s91XfrtDmk8ZH5+nrW1RYJum6Czy9kbb+DatSt4nkumUp57+rl/eqwMIaw8CVE9D/D5vo9b8vG8Eq7n4TjeFNc3laNkJ/bEMsyyiTuUjaCMIuTw5ShosxVxKfNzYeCppgDNUszAlGIuupzXcztNK7fYzyyXFWZviJk878PHm9cvKuY8CDShURUxTGAKctE7Nc0+kiSZsoimrKxUYiERMkPZikzki68QgmtXLyOyjJMba9xw/DhnT69hyZSluRpeuUQWD+h0Oli2S5alKGHhlT2EU6ZSr0AYUK+W6Ry0CPsDwMJOU771G74B33NYX11hGAZ4nku1VqYd9knjhKA/wLFCjq6tstc6YPvaZdasDFkecmLlCAs3nsZzXB69/CRLiw3ma3VOnzrJsNfHtZ2cJzziiqcqjzXYlj32qsxnWVR4k3c9HQ8w4bVZMjLrXRYhq/Fn15FnjS/PkrtZc6eo+PXCUfwMJsE8ExLTnxf70vnLi4rdNHJMZW0aIFOeoQKBhSXsUZm10eJkTzj9crRIObbHXKNKp9MZGxI6+GlZOb9ZByC73S5BECATydLiHMePrKOSDn7JZXezR5JElMoerXabfr/PQbvF1a3NGU99dntVKGbPc1lbW8cf3XSt1sAt5QLieqUp10opgV/yRnzIBJ0aNI7DiWWnJhU0ZhHoX6ppVwgjeGUqzuKKr7eNmgvBLEUM05BI0aoxg2WmYjTpbOYYzX6UUuPqGCaOZ+KXMG0dm8/FVLSa42nek+M4pAVrWY/dHNf4GRs1C7UrWiqVphSRqdAtywPlkCkBmSCTOZsmGvRZbtRxyXjhiUd5/d2v4b5zt/Kpv/4rbL+Esh3O3XE7YWsXn4wo6iNEiVKpShgNsd0Si+tLBEHAzbfcQLVapdVsc8dttxDHMf1Ol153nyAIWD5zAtd1udRKKNXqVCo1Kq7PPa+7l8998SG63QHRi1eYm5ujomxknNDrdCktCNq9ASePneZTf/Fx3njvPZAmyDhGKkgygXRdslQSJuHUgqStziImry07x3On5NaED/T7NJve/GO68vpY853lUMbhRVunlTWxWJ2V0AwyFmMcpkdlyoG56Oj+zcVFy7USE3qrvk891iIDyRyvhiLM/014BcAWs/FkMyhvyrAZ/xgHp0c51HW/i4uL3HjjjXn6XeHi2ArIUJ1Nrlx4liDo8xd/+WccOXqUp54+T7vXZxiFVGpVXml7VSjmMSl8lK7TrHWmMS+dlB1AqYw0jQ33eSRMIv8R40xos6PUX47VXLQ+it/p/k1L8nog/yw4Qn8+CwMuWrD6PHPB0J9ZiKlJX5x0s56BqSDNSWQqeK24ZZoden7Xs7yFoZS11WNZ1hTerJuUEtsqoZzRs0Mrf8Gxo0fZfvE5FutV3vPOd7J84gT//Lu/i9vObDBMJY89dZ7NqxcZ9NuUbYkkRWQxVuqh0ox42OGF3i4ri0sIRzGMh0gyWp2DvJqJI0hkgld26AzyggNhZlGrNvBrc1TKJcQgYHntGINrl+j1h7TaHZ59/DzL8wvU/DLL5XmEkjz+pUc5unEK3ztPPAyJwwiVKVJshLJI45hUXZ8ZY0ITRTkqHqflpGgkSMmhd2Napqb8IA/XmCz2r69ZlIlZQb4iRKXlSdPZin2Y4y56Efp/ISa4ctEDMJ+NPs/EhWFkZDkTC9vM4qexdXOuaXqgZjHp/3XBCh3/On3mDABpktDt91FpTMlVY7KC53mUymX2m7tYrkMUxzz7wvPjUnGvpL0qFLNe+dwRMVyvwkXMCCbuxyGlbPSFUUrmy1XG5upvWp2mMjH/nqX49DHFaxeDfEXhLFqUxT6Kk2Zq0eAwyX9WH/qnGKAxrfqidSKEwPMOZ+jTz0ufN55YhgIuYnnm4qOva9suUgikAEFecUOojE6nQxonhIM+z50/z8c++htsb23xze9+gNUjx/i7J5/mVz78YR5/bAcriyCNUCrFKZUpu3mZn4MkJLMkQRJR8UtU6hW6aZdmp8l8Yw6FpFqtEsUBvUGXhY3TlG0Pp1RBCodWbx/Xr3Dk2CkOBm2UUjx+9W/pdvs4SnDv8TsQwqJ90GJ99TQLjQZxFOUbLxQkysoTJw3DsWIuLpImDGTKShZN7zIremamvObPduKFmEErUxbG70xO5E3PN52Pw+zfDEIXF9Xi9bV3Nsl7czgAWDR0lMp3/plzbZKbfVK1yBx/0Wgwz9OwmT7PKk2ecdF7MK18Pd/b7TZLS0uUy2WSJKHT6RAEAbVajfvf+EYAWgcH49w99TkXB5DRkLi9CZY1pv/5vk+r1aI76I/zjL/S9upQzLZLqbYyUsQWnp/nPQaJ7UhsWyBlQKaS0YPPa2cJACUR5JtTdN7mvJ76aAKoCoIylihh27qoal55BCbZ7KQEx/GmCOamu68Vj+meK6UQTCpz6GZOBjO6rQMIRQUdhuHUAjRLuZtWSnGyKaWIosk2VTPIMqsplfOFlZwktZEw3sZt2TaWYUWoUXl227byFJbWxLLWsBEo8t3Y2cilzquf6OeWT7bJVnR9vmU5ZK6Vb/TAwrHBwSVOLSzhcHTtDFF7h//lO7+LEysOP/gD38fHPvab3HbuKwgjwb/47n/OB/7vf0csfER9nu6gQ8lKCPoh1VKV06s3JalmyQAAIABJREFUUfF85i0HEaU4KKJ+E0tlPPa5h9nuh9x8x12cOXcncWzzmU9/mi8+/AjlcpnhMOKJLz1GtVLi8sUXETGoDP7bb/0aGvMNLl26xB/+9mco1zyW1lf4w4c+wTBThEhsx8e2qwyDPrafIq0Yx/Ynlt5IpoLhcOzi6112QZjXWyyVSmNlYj4zU8GYsonMplKKxuG0xWwq9rwaTzJmYgDjKjgadhJCjOlwuuySvt6sTVsTr29iYISjOneHsF8TVhhZ77rKvP6umMZWwyrSsrFFTo9NgxCZxMgsQyqLTEkSBcqyEZbEyYYjobewrVwHWMLFK5dyDykajPZFCPabO2SDbeoLHiVZ5viJ4ywt3MT5555kZ+8axJvgV9k+OGB5+Ri9TkrZ6ZGmCUkcYiuwGkvcdM+b+d3f/i3arT3Cfp+d7X2Wl1f53BefmjkfZ7VXhWLW2cmmLQnIsz5NhKrID4bRZkGmrRClXnq33t+nFZXiZNWe3X9xhdefFfs0V/6iYp51rD7edOnMCTLrui81NlPhzxqjbrNoWzA7+EPhHmZBIOY4tPLI/843SsCIvlj18ObnmF8sc/+b7uM1b3kzG3feTKc75NLlXSqVCm//qgeQKsW1bWIrpyAiR8UWwoCSb+OVa2RRRL/botXtsrm1Rbs/4HWvv5fG4gq/+Eu/wF9+4pNc3DpgGEOtDPPzDVzL5WAQ4Hse3SBmuQarq+tcuvACF55/gYNml6WVRRq7W6iKj1euMxwOc4aHU6FUKuF5Tp6rRU7nntAWps4sp2E7/Z254Bc9Gv389KKnlMIpbE8uwlXmO9E5oLXrbu7s0xa0OUbzXZk/5vX0cWbGRdOjHFdDKfCYMzXZ3q3HoZSi6C3r8xJkToOTChklCBS2sEFYJElGosjzstg2qZKjDHp5Gtg0TaiVfAbdLpWyj1dxCQY9UlJuPnOc08fuornbodvucfGF57lAQqfTQniCcDikJDzWVpYYhAGN+UVUrFAqR4aSOEYmMadvPYfnfoxgEBMFCX65wqDXJY7/CxVj/cdq1hhL0gEDHRiwEGLiJpkui9YlWpDGSo18c8K4738Avmy2WS5YrgineaKzlONLKVpNOZoVoLwe/mf2MbaCrjPOovVdHIMJA2mrbVYz8WdzLCanezxZr6OYi5NYf5dmcmQB5RtNUpkXeA3CIe10SMWKEa5DY3EJsgwyxSf/7BN4pTo3nr2dG86c4uqly8w1yigZg3YzaxW2mk1KvqDTgXgY0m41ubK9x7WtfQbhkOeev4C0LpHFEcOgx/pSFc8tsb3bZGurS6MkSBJFnMHNR5c4efQIjWqD1eU1jqwe4Zd+9aO0gx1u8F2CQR+3FI6KCuTKzRZGqk4mEJLG36/HrJj1/PR7NV1iU44co5L5LGWsoQWtzHXpMm2pataMSfucBKXtqWvNgkgmSnhyzyZkVUyYpM+rVCpj613fn45JaEbElKxaNkJYKCWRVoYlnJFSzhc/y3GwR9Z9PwVXZnhS0qjVsRGkQYBMA4Jej5X5Cusb8ziWotff5bFHXyQZZpRKVVzLw7UVK8sLdHptrl26wPEzN1Etr5KlEaQZg36UExDSDJlCEkuaV3d47rmL7G5vs7N1FUso47m+soKsrwrFLCxBqeSPExG5bp4dLoqHyFRv3TRLwmMIaR4wzMu9gCK3uHIBtY3goX1I8X25zVTI47EXoAZTKZpMC/1ZcQKairwosOZ1zMCKuQiMA0ZiWukVJ4s+1rTOi8e91LPRllPx3rUbPqWs3Qn9axbTpMgUkVLlWeeyjCyJkZaL5fosr69gyxQ7G/DN3/ldOGrIUxcv8oe/9Vs8/MhjOE6Ft77lqzm+ts4Tjz2Eb6/iOoLhAChVGQx6lGxF2Ul56Av/GdvziRPJn//V53nx8iWuXNvlp/7DB1hdW6YyV+Y1X3EbrlXj4OCAYRTx3LMv8PE/+wRLcxVOnjzJnbeeQyD52y9+iWq5xMH+Pvc98ACPPPYwn33sKm988x08/fwFllfW6QVbSCVI0wQnsbAU42T40QiD1jiwmYPBXCiL2+T18zdjLPpdep43tZW6uJNTL6I57BVRqVSQUuaVWQxqWJZlU+dO8lVMc9f133rsMNkUIka7Nou00aKnpRVuFEXjiinmQl9UyFphJ3gkUuK6HhW/SjwMCaMhaSKRysIGZJqRkuItrubzH0V/OKBW9nnd3TchowFJr83elfO0d5tEQZt62ae6fBKpBLaVUfagXHKRpPSSgM/+5Z+yvPEEb/2vvhVHClpbLUq1OkmWEQwT2vt7dDstmpUSll3m8194hLXVFdrN/Vz+rzu7DrdXh2IW4Lhm2s88d0JuVRR3FuVljHSzLRdLWGRkCKEFRmJZNjrPahHT/fuPczoQB9OKynTvzKCIeU4RYyv2UVT+s641bbGPBF9YU5+ZYy5CGsV7uJ41a7bimIrXmD7/MIRSXLB0y+MAoLJsXPxSB3D7wYBGpUR/GFNemCfrZ4RK0O8F3HvPvZw+cwtlx8MqlZhv1Cl5HlE8oJ/EqEwiU4nnugyDNv1+l1Jtnq39Fg8//gSbB0Pecv9rOXHDDRzsbSOzFNd1uXbpEp5Xol6tsbq6yjd+4zfymtfcTRxGJHGMpRRlzyeNE548/zRlr0y5sYC336U3jOj2BgRhTBTn5YgqlSqODVkajuVC54oovuuip2NCC/pcvRhq+ZplmZpwh7mTU0MJ5g7PImQyfidiOmCtGR8vNYcmY57muut70mPTMjDeeGRbU/sUtJWsFy4TDrEsCzLG2RQtCxzHQmYOFc8dGXB5VjzPd9gL+oCk7LncfvY0jbJHp7lD/2CXnasvkHW3WV1ssLy6SBYNkLYgFpJo2EfEMTKy6AVtHN9hvl7myqULVEsena19FuoL7Ad9gkGPXq/HQbNJu33AXhbTbB2wcxBQrw8Rjotl29Q8F3YPXnKe6fYqUcwCz3MQIscYh+FgLHQT2lUyJSwTy88Zfzb+fuQ2FYuw/kOUcxESMYXMFDYzymtuJ9WK0Az+mf2abdxfOsH9BIyzk2XJhKdpWRbCEli2NaU4rzfp9fdFq3XWDrDiOzLvU9+TGZyaWH3ZoTFoK67oFeTn5lUfLFReSduxSFFIJdjtdFiarzN/7AQN/yTNTov77n8rt5/7ChQ2zz9/gZOnjlH1PWyhcARUKmXSJGO/uceJjWUuPv8kUZbgWopHnzzPTnfIubtuZ/XEaT780d/l9PENluY8sizBrZb5zEOfZ2t7B2G7DMOMj3zsYyilCIMYxxFEqcIHlhcavPjCZeYaVRILlOOzdvwElucjEaSJxLUzpBA4wiIzqFzaetU7y7S1bFLmivJR9JL0M9Z9unZp/C5Nipk+15RDXVhUU8H0tcb5SwremetONndoa1+nBTVlOae7TuacaZxo6qSZZyVJEtKomNNcIIQ9KoflAvm5Ot/E0soiMs0YDNo0mwe4tkPF9Vk/ts7qyhGObqzguy5+2UOWKlhuvtnn8rNPERzs0PAFoRpQ8YF6Fct1SaSiVGkQJkNEKik7DkIm9FsdlEgJ4wwVhxxdmecPf+c3efNb38HVi8/RlAGtgwOazSZ7O9v0Oh12t7c5/+yTHD0+R7N7wNrKKsGwTxq8MhgDXkWKWe/WMzeHRFE4tdpPJn4eMGTsHGircbqAqFJiVJXAnlJS+XeHlZgQgkwHNNThqs7A2PU0rRfTQlFqUltMT5osy6hWq1PEd309LbjFTSO6aWHWgm26r6alavKFzVa0lvXEHkZ58EfjjKa7Ows3nEUZnOWWSinzbIEFyMVUIEXaUL83wLVAWKM+VYawXPKERT69fkBFWoSJpDq3gHcUqguLJHHGta1NXN9mbmGedmePpeUGnXYXxynR6/fxvA12dnY4cvp2nrl4LffIbAvHdXnx0hXuPHcTd919Nz/+b/4VF1+4SGsIwRC8EgxC8H3IFAxjaJRcTp05w5NPPUMKJK0u1VoDbEWc5DLaafcIggDf91GjJERxnOA7DhlMLWQaBtAKzXyGRatZy5gJd5hemH5HGsstyo/GtXMl644pbaZnp8tMmTvuZgUBTeOkKA/6PZvH6WOTJBnLm44Xzc3N0Q+GY/aGZoTEcUylUmF/fx8pJWfPnuXbvu1bGAyG+E4ui3EY8+gXH2au3uCG06foHexQrZQJO3tISyBLLu0wxLVtlMpQwx6eitjdatJpNfN7Eg6RtLF9H1UqkQ77VCoN0ihhGIZImY12GOfPYTgY8Oz5Rzly7Ay244OdIImJ4j57+9tsbm6ysrQAtmRnv8PaSpVmexeAml8HXhmX+VWhmPM6iHkljImlKQtKJS/6mbtJpvLSVrI7FnBNyzp0mVdgMV8PYpice5gTbB5vTpTi+VrIdRIffYzppoJBa1KjHX15B4jRZ/rHEgJr1Hcqp5MXTfNbD/Oateto4u+6FbnJ+d+H4YzrPTvBYQ8AOJR6VDfHc3HIEKQIAVIpyCTCssikQmWKYZJCmpEk4McZF65skiWS2vwCqXHPwyAcR+Ety6YfDIizlCSJSJOIMAxxrJzW99n//AXuuftOvv8H/jeee36TG0/U8L2Yk7ce59xtd/C93/f9fOf7vps3v/UBDg7a3HT6Bqq1Mj/+b3+Efi8CN0+y5PkVbrnlFHt7e0g1yRkisLGEgxyNLZWTwqQms6bodZhbj4twwPXkC5iUUzIWV7NYqikfeo+AKXe+709Z1mbTZZnMMRWNmgmsMh3b0MfNzc0RBAFhGI692UuXLlGtzWPbLo7tjgueVioVGvV5vvmb3msIEnhuCcfNlbjreZy7+SyXXnyRz/31J1molWjubHJsfYFet8Xe9hbzS/PjhWoYDsZK3/d9pFK4pRqW55FaHp1hhivy/Bgqncb6gySk2WoRprC5ucczzzzDmRtuYj/c5tq1a1y5coVLVy7Q3N9HpiFRErK6XicY5Bzoxfl5Wrv/xKpko/LcydOsi2lrzLQo0zRDKUBZeYUIx8F1/ZFwuFPu1Ze7JTsfzjQsYVo1Sk1vFNGlkkxLR6nJ7iV9D9pt1BPvekrd7EONKESmJVtsxYk7piAZ1ELzWD0ZbXeSVcucPPp7cyzAqGz7y2+sEUKgCnCOHsf1nr/tuQgpsaRAqIwsTZBCYeGRpAqVAcolkTkW3Zc2yi4RxSGNI8dQMsJ3G9RFSq/fZG5uAcv2sf0SYSZoLOV16+YbNSouLJVdWluXufX0EX75l3+Zg37C295yLx/4wAfISjYLS0ukacraxlF+5Tc+mrMWoojPfvozLC8v0e5F1EuCr/7qryYMYza3r7J+dJ1HH38UJLi2jWNZSDWKh4yMjGykmM0iozmM503JqH7OZm6RIjRmLpCm92R+V1Sy+n2aDCct48Xg+GE4bPK/mZvb3KWrvVO9xpuLiJ5Pk0rZ+VgWFxcJhgmVSoWv/MqvZH19nXJ5Ylh1uwF5ZXBvRKUcKUwJcdBn4dhxFtbXCfZ2+ZPf+23qFZetyxeo+g6nj67Qa7fGVjpCIlybRm2OOJXEiSQIM4Zxnmg7yxRVJ6TXHpCmgBSEgy5hOiSMh/TSiEEsGYQJv/t7v8/9b3obj1z4At1uL5fzNE/E1ex0ee6FHeIYTp5cYuPIMW699VYWakt84N9/cOYcKLZXhWLOy4vr2nhytOJaY3bFIcVqbCDJrQRvJByG5aems7fNsnCvP57D7AuzmdaOmV1Of2cmAp+F3ZoYrR6fSU0aK9PCOIqWuvlTpDiZEIdu5vF6YphYpIkFHmKZyMk9XC9QOD6+sDjpe7pesn5LiLz2n8qwkKBy6pyQalRHHshASUkK9KUiGwxwEGxd2eHZ83/H6+46ge/l+ZyF7RIlKYlU9IYRCIf9/X3qjQWW5+rMV336YcQNx27kmYubbKws8u5v/Ba29rs0liv81kd/hxdfvMw997yB3/2d38PzPC688AJbl68gkCxUbN7z7ndz//3387M/+7M4jmDQPWB9bYXNrT18f7TBIzO8PtvCFhPlZyoqMx+ECSsVLWXTgzHfhZlPxQx2z3o/Wh5MWqSWH8/zplgW+hx9HXNcptwdtuon55lBRdM61yyMMAw5deoGjh49yunTx5ES+v2QarVEkkjq9QqT4Qhc1wbhgCXwaguQSVA2lYUV5pZWaO1vcXp9BZIhaaaw3Qq262PbFq4QZErlgdxU5l6mzCvoCCRppmiHA6I4QyaSLMkYDkOSLC/cOyCj2e6TqQpXru3w8N8+Qt8e0O0Eo3sXpCn4Xon/41/979xyyy2sLK2yuLgIymJ5fuGflmKGaTdNv+zc5TtMczOt4Ek60IlFKZgm1ReF9OWU88spZrPf4iGmxQJMWcfm37OUpGntKqVw5CjgJwSufbhqSU7ByWmCxfstLkTmxLesvLpA0UrTv80NAON7ki/dv3kPqIm1bi5S2lI0F0rLskjSFEGeWAckunKsUnkAVKYJcZxAEiGylMriIs29A8q2y9b+Pn/48Y+zsf4NHD+yiBL5Fu9hkNOn2r0hEpvNzW3umF9iY3mZM8eP0A8TThw9wlzFY2fvgJ/89z9Dpz9gbt6j0+mwt98FPpSPlzw3dMW1CeOM7/imd/O6O7+C5596ipLv0piv0u62ESg818YW+XbwiQxZOZVTTePuWj5MeTEVt7lgml6c+V0RnzaxYJhWjOYmkqJcmBS468m7ebwpg6bca8VsLiD63E6ng+/7DIc5plytVnnzm9/M0WOnsSyIY5WncvW8kTLOOeTaW9ALT7cfgrIol6vEYUIUhlgy423v/Foe+9svMNi/wtL8EuGwh+X74DpIIUAqyBL6gz7D4RDLsqlV53Eci1TmUEd3OCCLBDLNy0aFSUqSZIRpyl6nzfZem8xdot3r8/TzLzC3UaVSqTMMItI04y1vfjtvffMD3HbbbcRRytbWDp1ORBjGHOy1Zj7bWe3VoZgFozJR+b+WMLNTuYWXrmg06vnWSkOgHGeUrF1Oc0GL1vLLKeWilaLb9RS1mY3LtFa15aKTegshDlkpprKM43iMPY+DQGE87kfngTWVqDm2nCY0o7abATmYsJDluDMt/iIUMl6A5MRCMpWBVgTmeVox60TmRerg1Dgsi9S2QaYj5ZWhstxoHsYBUZyBUlgShBSoDLY6XU6cPEXcD3jXe97DwmKVhXLM6pFlLr3wHK12h0E/Astmp9lhZXGJRx55hPWlFaolj684dzODQUIvivi3/+ZHsCt1fvrnf42DwTU6+wd86EM/zx//8R9z9OhxfuFDP8/6yip33nGO4+ur7F67hm9J4m4XK4y46cxJLl5+AZnmXNobTp8ijUPSOBkFqW2yLCVNYsIsHHOQ9bsplUqHdsJpqEDvCCwqZfNZ6qRfuYI/nEvD9Jh0vzrwBxPLWcq8SKpZQ8/80eXPirGLWfPLssShY3UeDtd1ueeee1hbW8PzfeJRMdcwzL0prbiDIKBcLuO67tiK9zybKJJkXh3bhliAKPm4tp9n+xt2ufWue/jsn1/l+atbzFVLxGkJGSZkSYIlYpRKaTYPqJRLpFFEO9jOn1Mi6XUH9F3F7vY+Isvn3dbmVQ7a+0ghuby7hVOus9dpEsTQ7oesnXwt973hjdx3333U63Mj/QOPP/7CqBSei2X5VMsNkuwfseafEOIXga8DdpVSt48+WwQ+ApwCXgS+RSnVErk0/DTwLiAAvlMp9cjLXgNBFEv8chm75NPuDFhaXiYcDlGJxFKSim3jjVzBSLiARU56nyStTtMUJSS2M00Hm9VMK9wMxCky8lLNeZAx38WUk+aFNXLNVTquvp0XDh1lh5N5JRGkwrVz61hT3izbGtPdpihQUuVc7Sw/N7eQLRAQoPBLeaEAZVt5kEu7g8bEtCwL37amoIPRexpPCDOFoTPaGTUOUhkLXxFn1P+nMs29l1GdRakUMpu4rFJJpMpQSJI4NPqbPPMsk+Sr73RA0UrSPHeE5SOVR6ZGuDcJtkjIZEYgJUq44LpUFIT9lEx67AUpyyfOsv30F1hszFErzSFEhqzaXNvawbNT+v191o4s8vATX+T22+6g3wuJ44Q4klQG+wS7m/yH/+E7uHZti4WVGrWgxTtvO0uvN+BPP/SzbGxsYLsOP/zDP0yURtxw+60EgzZRHBCkfdr9HrZf5tL2Lre89ka2Om0SR4EA6cQIofJCDhlY2Lj2RIml8Yh1o3KrWiqFY7m4tgdJOnnXmUSNckLksQCBbdmILM5rIiYCVbKxrTKOqOeOh5KoLACRzwspFVLZCFHCFUNAorIkf2+j3XpYijjNxh5SqvINQCV/RLGzBJ7vkqWQphm2m8NwURJSdspkCsIohylKpRLDoE+73WZ5eZmvf+83THm7UiiCOMSxc7qn5znEcYoS4PoeEkWSpXkaWXJ2jOtbVPqKYZQQS0m5Xsq3X3suwdBiOByyevw0j3zhGlIJXDsgTROQKY2KR5pEJEGXfjTIc+c4FdJMEMcQKo+ot49rQyfoMgwjrnU67DT7xFLQCSpkg4zM9hlEA5ZX1vjvH/xnnDx5Eikle3t74zSkJd/CsiS2naJUQpK98sxy8Mos5l8Gfgb4VeOzHwI+oZT6gBDih0b//yDwTuDs6OcNwM+Ofr9kS+OYjaUFOv0BdpqxWK/Ta3eoVqvYFjgIyo6Da+eVOlyvPGV5CSGmFNKs6PEs3Oylmmk5TwXkCj9Jko6P09fxfX88Pg1fFLnL5ljMpDTmWCuVihFQOVxV22wmjc50S3XAUbMwxpFzZ7rQp2mx6bGbirparU65rkXs28SrzfGZi4cWWrOYbPFezGddfKfj5zuy6lzXpdXpMT+3wMpXvIb+3lUGQYDn5slz6vU5hoMOYRRz7vY72dra4tLly9x2yzk6nR4om06nSaVUp9dtsbTYIIoGPPHCBdrtLs1Wm0996lMIYRMnCfMLDVaXl/M8C5UKy4vzfP7837GwsEQ3CNjY2OAd73jHaLHLF+M4DlFpXiBYsxVM5VSkDk5kU8HIwJBKkqkMYdt5Pgyj8rN+r0IIlJvDWmkaozIQKkOqGERezUcqm7yuIqQyyuXCyVMhCCGQSOIox1+FECDsPJCrBEESjKtlt1vd8TuREoIgoFqtopRgOAxodzqsrq6yvrbBzTffzNLSwuje8s1kcZySJrl36Ngeg8FgVKbJHXuGOiaht4rn2d5ShsOUOEgRloNl22xuNel0OvT7fY6szlHxLM7ceDNIxec+/UlOHZnHUoI4kTSbB8gsRdgucZqSJRFBMCAIE4bDhF4/JEw7DIIh7W6PVqfHfmdAlIHCIrNcgjDmpz/407zxTW/hypUrRFHEzs4OUkoWFxfHnuIE6jxcg/OVtJdVzEqpTwshThU+fg/w1tHfvwL8Fblifg/wqyqXrs8LIeaFEBtKqa2XukaWZXhC4VkCsgy7VAUp8Bw3tzCEhWfbuFZe448ZJWImrInDiuHl4IvC/R76v4j1mf/rVsTapl27ac6x+dLMfoqKe0qRGsEXUznOYlCYFq+Z19pUhsXxzAoqmYp5Cp82noWp3M3fs57POAF8AWs3jzcXxCJtTI+lXq2SSkDYBIOQTm/ATatLDJrb2LZLGAYIYVMqubS7LVrtLhtH1qj3+1xptwnjiHq9ThAMERbMzVc5aO1ybOMYaQZHjq6zsbFBu93lmaefJyO/z2brgDAMuPHsDcw1aiiR31e/32fjyHHKccqpU6c4aA+wLRtLWSMGkd7ObnKBlfFjPoMJPqs3WCmlQEgcdzoNZpGtlMg0ZyoJmXtoykaoPHeMUiCxsLCxcbGVO/Y09fUTmWFZAtfJn20uAzmLQljlHKpK1djzct18C/ixY3mRgcuXL1OtVnnf+95HqZRDi1GUxxWyTI2hLaUU8/MNANrtNkpZY9hCb17RlUK0crZtm0qlgu/7BL2Ig709+mFMqVxlYXmJEydO8Oz5x6i4Fsdee447qjU67TZB8zLYYFkp/WFEFA2JwoBM5hZ/qxsShAlBGNHpBsRJn939A6IkJUoyYilQCHabAW95+1v5lm/9Nm697XYuXLzE3t4ec40a8/Pzo3uNZqZ+mAU/vlz7+2LMa1rZKqW2hBCro8+PAleM466OPjukmIUQ3wN8D8BcrYojJcvVKqllEwKlehWJhSOcPMmR7WJbFjaCTBzOP6EFzFQwRfbDl/NgzD6uZzGP7uOQkjOxVD1xzCCMqcSKmKA5xllW5ay/rzcms4+iUp7VnxmA1d8VFXFxvLNacTxmXy/3PsxzzcCYKfC2bZNkKalMWVhYYNhvkY0Uj7Byd7hcK2M5HlgOgyjG9UrMLy1y0GkThgF21c5jFZbE82ySaMDm1osIx2YYRARByN5ek26vS6PRYP/ggCQO8X2fubm53FpvtQALz/Xpdru84+vfy/zcIt1+hBK5Yla2jRiVLtJB2kN4f0F2TGVs2aAAoSYKWMu6udgJIZBKYSmBkPk2d2us5CVSKEaEeCR5ClcsCzWCCXI5h9FBWAgsBFLlQdksVaRp7pXVajUcJ6f4JUnGcDhkMBhw4vgpbr75ZobD4bgSSLfbZTAYjBMS6eKpURQxNzdHFEWsrhzFcfJFKUsVwyBCkGPxOvG8ZeV1E5XK04RWalVKtTr9MKbb7dPv97EsBwlcOP88lkpYP3KSp649nxdNSFIGw4ggCBgEfQDiJOOgGxBGGcM4ozMYkmYxe60u/cGo4oiw2d7vc/8bX8//+zMfpBcM2Wt2iNKMSr3B3Fx9HCPQnrKpg8wg7ZfT/rGDf7Nm60zcQCn1c8DPARxZnlfB9hbVuTnmFpaoumVwPFJlIywPISwcvbFDgSOSYl9T1hxMW3yzXObrtaLi0ROlqJzHdCdxOKm8DqDoiaPHMKvMTxHX1eeNH+hLKGUtBEXPYZZyNy2jIj9bj+V6UFCxX/NZ6OublrvmqprXMK3fIpRjtqKXUVTM+b3YZCqHtWyvRK2uCOMWmRREiaSGSY+HAAAgAElEQVRUrqMyiLKYQRgjHI+Dbg+hLI4cPZ7DY57N0vI8F5+7QLfb4o333Y9tu1zd3GZ1dQUpFTfddBOlch3LsslUvimj0+mADZ1Oi06nw8LCIrX6HOefu8DXvuvdXNnaxvNKxKlE6i3L9qh+nZzezZc/T0mma1haecQCIUYWbj5OW01DRN6Is2/2BeBZHo5wEdIDmfOmK24FKRMyJYkzB4ULooyt8qCbsFyEsLEdgc9o0UAn6NdwUkosc+s4DyCqfEOI47C2usyZM2fwPI+5uSqbm3t8+MO/Qblc5vjx4zzwwAM4Ts567PUGeb7pICCKIg4O2tRqDXq93lRy+1zxO3Q6HS5dujSOkywtLeXBwSSl3W4TJil+qcry0irLyzVatTobKw3++i8/STToc+zoEfabXZIkIQwC2p0WYTSg02szGAwJ04T+UJIqQRintNp9sixjrx/TG8DdZ0/ykd/5feIkpdnu8PTzF6nWGlQbc6Td3phppPNEm/egZXuWwfVK2t9XMe9oiEIIsQHsjj6/Chw3jjsGvGwFQltYDNpNer0eS5lk+eRNpEogLBslRmv3KDiimL5x/bsYrTaVzj+kvRI82jymqKyuhyvNsnCLEMj1WhEmMeEN8xiYrr9mLjYUBKao6IsCVVTMRTqX+btoZZu4t9ln0aI2PQ2NmZt96p9oGGJ7PuVyleFwiI2gVK5iOyXybfi5BRunGYlU+JUqqZTINKVc8qmVfDw7r+N25swp4jhl72CflZVVjh4/hm27yEzhuj5hnLvbju3SbB2wv7+P67vs7e1x8dKLSMvm6tVNbr/9dra2trBtl1RN5MAZ5RQ3Lariu9A0NpMhoZQiGuGwU57MKFVA/o6md+4JR4I9YlpIlVfnzvrjCiFpmqfKRECcjYLHlsKxcr69a9v5DlryoK2wFEqmoLQs59CE7/ssLi6yuLDMLbecJQxTLl++TKVyBsdxuPvu17Kzs8OLL17iT/7kT1lbW6NerzM/Pz/CkcvU6w1s26bf7xNFEyu63++PlPzcVH5m13XHlnmKoDbX4MTics5pVhZKQbfbzeGLMMVxSzx34RKDICYMA3q9Dq1Wi2EU0G4fIAWEacYgVqMFXdGPE7JMsbpxjP/1fQ/y7ne/m+ZBi0QqbMdjaXkVv1Jlb7/JwsJC7gWICTVU4/1aQRe9w39UjPk67WPAfwd8YPT7D4zP/ychxG+SB/06L4cvQy5Ip0+cZHu/ycVnn+fOe+5nvzMgTBU4HjJTyGSSSWuYTap1mJPfrNyhlYOZoUpPlmI6Qpgk4TatY5hWmqaiHU+u7HDGuKLLridf0WItYtf6bz0mjTHqv81jixa8qcTM72blvrDtfMHT/enJXSxFVLwvc8ymYineK4U+ikq+qJBNfm3xPP1jQhmO7yBF7oG4fgmymEwmJFLlQZpMEccplWqdSpin2LQErKwtYwElz8KxbWSSIgV4pRJYgiAM8MsW5VqdYBjSCfpEoWIYxwwGLTIlEK7H1a1Ntre3SCUoIdjbbfJ173kvvl8Gx6EXRFSrVYRUdFttHGFh2ZCOAkN6odK5KWzbJggC+v3+OE6iJ3ilUmUwGOS0ulQxCAYIYbO4uIjvlymXy2MGxOr6As1mi73tDmEwJIpDMjlgr7nH7XfcyfalXc7efAdQZnn5DJcvX6ZRrSGlYmlhkZ2tTYbBEEskqCxmv7nL2uoiOzvbKKfCwsICruvy1rc8wNxcdfQu8/c4P79IFCXYtsuJ46e4/dydpGnKk08+yecf+iKXLl3i27/928cBPjMvR35uxMWLl4iiiJWVFdrtLvPz8wyHEQsLC0gpefrppzl27BinbjzDYDCk3W6zuLRKEARcenGX554+T7vVIuz3KPs+N5+9gcU77uQjH/kIjUaNdn9IEAxo9/pYrofrlWi1m8RSkEnFQbdHOEz4tV//CCdPnmQQRqTInGmUSrAdwjAc549WSo2yWk7z+YvV4PUcK3rML9VeCV3uN8gDfctCiKvA+8kV8keFEA8Cl4H/enT4n5BT5Z4np8u975UMwnVsLj7/HJZfoVopodIMx7YoCYFwfTIUeAbEoMqHbtx8AGZKRd/3xjkEilHsosLSCqDIS9aKq7iLKbfqDlvnZuIhrbiK4L/5t9kvTG8yMC3FWQE+8znoMZjbt4sWv/4/k5P8yqaiLzIrXs4FK0I75jnmAlhM7m6eW1Te+v61Bak/G2PMQIZNZtkoHCBDuD5+qc7AblGreaRpvpPLxsK1HGSa0O8F+J5DHINjQb1ex3Z8pFQMkpRu84B2cA3H8UhiSaag34vodPvs7OzhOj7Csbly5RL9fh+lFGGWUS5XCMOYwSBgfnmFuUaFYRwRRSPaoMgTrx+0uywuLnNwcMBcY55Wq8XNN5/i7Nmz42cfxzGtVgulFMNkwJUrVzhodZAq4aazt7CwsMDS0gpxnPDoo4/yEz/x/3Dfffdx8uRJ/vX/9X7uuvM1PPLwYxzdOMKDD76P+998DwpIFZzZ6fHBD/4CH/zgr3D3G+5ha2uLYxtH+K7vfJCvede380d/8Hu87WtuxM3hZwDCoE2pWgblE0UZvm/TbHbZ3Nwb48ye51GrNjg4OMitRUswGAxRSnHzzbfypje9nr29Pj/6oz/K9vY23/Ed38G73vVVY3nY3GzhOA533XUXnmcTx9k4p8ba2hqdTodyucy9995LkiRcu3yNCxcucPXqVdbW1hFC5MyMbo80img293nd617H0ZOnWLhxhacvXeVXf+2XmZ/LdxFWl9bYbx7w4oXnuOHsbTz+5DPguHz+b/4O2ymxu7vLhSvbY8s9z2wX5LlrhIVt5RRZANvwCIvzuDhPdL7sV9JeCSvjv7nOV2+bcawC/sdXfPVRcx2X5aVVlOuSWrn1sLi8SrPVBQts4SBFzvNVSk3RwWaxEmZtZoCJwisqSbO9nEIzlUj+2WHYoQhtzHL1i8pvFmRiYuSmRfxSiv6lYJDpaxyGMmY9h5can9ln0QrW5xTZHMAhl67o2s+CZ8z7coSFHI0/p9tauTVru3n5JsejXKqSZCm9TpdgMMCyBElUYm6+Tr1epd1u4XhloiT3qvpWHsTa3N9lf79Jt9snCjMOWn26nT7YDrbl4Ps+3X4P286DYJ12l8b8AgcHbaIoQmAzGAxodTukUczR9Q2Eyuh2uywtreA4DkePHicMQ44dO8Ftt93GxYuXsCwrt7KFoFZr5El2rJj19SNsb29jCYdOp8f588+wstyh2WwShjFve9vX8PGPfxzf/1s+9HO/wG995Hf47gfv5drVq7z//e/n9rtu4b3f/E285p7Xc2R9jvvufSP/8UMfZfcg4id/6uf4my9+kZ/66Z8jU2X+4hOf5dTJG1hfFVgClIyplMsgJVJBt9vDsiyCIMRxHMrl8qikUkqQhMzNLVAq2WBBu93HsizCMGR3t0e5XObBBx/koYce4oMf/CDb29usrKxw7Ngxjh49TpZlPPtsXklap+wtl8tICbVaAyklX/rS45RKJdr9Pp7ns7y8gsoyEALPcUjjiKXlRdbXljlyZJ0nnniMD33wxzh9+jTSsukGQ3q9DplMqFarLCwu8/m/eZJ7Xv8afuzHf4JqdY4LFy+OoRrNEpkyegRjY0wIgcwmBXNNCK84t19K58xq4pVgqP9/t1tOHVe//u/+T3aaB8RKsN0PeefXfyOW4xCmo5tSEyWXFJSjhgr03+bON88vj3fgeaMq3LpgpWkFT87Pi6OmaR4VziPKMUEQkGbxFNwhpcRW04rtelDAS1nMs/Bm8xy9Ghct02IrLkxwOMmQPi4vfzRps5gn+vzxOWKalzkLUlFKYXF4EXupdj0ZnOXRCCHwrYRI2aT4ZLaPSFPmxBAVtLny/FMsV0cYq20ziGIefviLXLx0kW63S0ZGqeLjuj7ziwscPXICxy/RafdotTp0sx5PP/0s7VafKJGksSDLFH65QhynCNtiaWmJWq1GqVTi4PJV/FKFm247x/f+0A/RG4Z0BwG3nLudc7ecZWdzh0sXX6DZbJJJj+XlZbIs48SJE1NW1HA4pN/vE4YhFy9eJAgCVo8scerUmdEzFHhuicXFZS5evMTW5jZzcwv0egPe/vZ7aTYj/uW//J/57gf/GT/yIz/G177znbztqx+g02+ytbvDpz/zWRx/lff/6+/lwe/5ST7x0NMcNJv8wPd9P3fdcY5nnnyCj374l7CthM/81X+iXgMhodXeolz2KHlLpKmi3+/nnGUpGAwGXL26ydzcHI1GY8SMsFk/skirNRhT3TSTo1Yr0Wx2uHDhAo1GgyeeeIJ+v8+5c+dYXFxkYWGBvb09tra2xni8bdvMz8+zvLzMs88+y8HBAeVqg73tLZIk4d43vJ5qtUwUD+l12vi+z7WtTWq1Gtvb2/z5J/6I40eP8ZGP/gYqGSKzhE7rgHZ7yMkTG3zy0w9xbWsX2/JJM7B8h8H/R92bB0lynmd+vzwrs+6qru6evubAzGAwJwDiGBInJUEUCQigSZokSPDwrg4vdYVMS9oILWPt9YbXq8OSrHDYcpiKIB3ySgpJFFZaiiRA8AIJUuCAOGcGc0/P9Fn3nXem//gys6sbA4rrcDjARHRguq6uqvzy/d73eZ/3eUaj9G9r8pZkaRTGsrXKhK4Jb9TymVzzO6ckjx8//kIURXf+U9fEW2IkW1FEJqJlDHw/wnGEZXhlZhp3bBMESUMKCCIC+Y0lw400l5Pbd1LG4I1c4kmMaGegTEqVMNpuEhlFEVKwPYu9UWCe/D05ftiGuPPEwo2ZEpPHjcSKbnSkAXSiaTT5fv5zdvXJx2/DmqM3vvaNMuqdz9/5mjs3sjRLCUPCSAxERLKQP/U8D1PT0VQd1/EIAw9N0wg9n16ng4QY90UKKZYrLC8v0+p0aXdHZHMFLEdkzGE2QNJ0zGKeTCARRhpECkEERjwNV5kW7NChZTE/P0+n26cdW9q3en0eeeRR3MCnXm+Sy+U4fvw4y8vLjMYhFy5c4NFHH+XFF1+k1+uh6zqnT5+mWCxy1113USgUsG2bZrNJoIYcOX4C2xIMirHjUj9/EVlW2Gy22DW/mzOvX+Sprz7PHXfcwYc+9DiDwYiPf/zjqLLCZz/7WT74+Pt48MEHGQwtvvLV7/Phj/wWx0/cw5GByTeffhpVy3J1eZ2nnvkWv/Qrv86nf/1T/Kcvfpv3vfc+ZBlqtWmCwMG1gxRecmyPbrdLo9GgVpthbm6G8dhB0/RYeJ80W56ZmUGWZTqdDvV6nVqthmmaRFHEsWPHuH79OisrK3Q6HRYXF9PPnsiVdjqC/VIsFjl06JCgKqoG00eOIUvCpd62BB3P9RzOnD3Nn//FX+B54vy3By0ULUOlWuXa1Uu49pBO1+KDH3yMf/WvPsPVK8tomVy6BjU9Qzba6s/IUYjrumiqTBiqEAVbsgREoGpvem3fCOb7UY+3RGCOopBrK2u0ej2Gjs+1jU3Onj3LgwvzyLLIUiUk5AiiN6G+7QyMyXGjwPzDgs9O6GEywCY47/aTELwhuEwyG25EfZscg568/c0+z2QG/MPed/K8nUHsh33OG2X6b/ZebnTcMIjyxqA8+T52Nkdv9Bne8JoTjw3DEJGXx9+3BJIik9ENstksWP20sgmCIM2ANFUlCEM0TePw0WN0u116Qwc/GiNcM2R6/R4hEaqWIVLBcQTPlwj0OKBkc3lG4yG9QZ+33XoHxVKPgWWzvHydSFEZDof4UUh9Y4Orly6ztDBHrVZDz+g89NA+ut0+hUKJ+flFnn/+eRqNFpXKFI7jce7cBZrNNlNT0wzHA1568WWWlpZYXNwtGmHlKSzL5Z3vfCf93pClpSVs2+HKlavMTO/i9ttv4W/++mm6nRYHDx7CNLM889WvcfId72DXwhEG44gf/OASjhvy+Mf/Ob/zu3/A7/xP/44/+J8/w/PPvcyePXv59Kc/zeXL/5xf/tQn8T0L09DIZhVcV0iRNhttNjY22NzcZPfuvbRaXXRdBGXf9xmPZAI/xPcCOu1uKoK/tLibfr/P7qU9OI5DvV5nbtc8QejjOA5hGFIoFNi3b1/q4v3e974Xx3Ho9XppY3A4EOwMz7VZa9W5cuUS165e5syZ03T6PdrtJhnTYHp6mvnFBXQjw/zSbk6/9jLt1pA/+V9/h0ce+VkGgxHFYpEQFc+LyOXyDK0xRkbH8zxBhVPjqVVNIQw8okiO4Yw4HsjKG9bwTihzJ4vpRzneElDGgd1L0X/3qU+mF5Jl27hRxJ0n7+XA8bcRKRoWGm4ooWUMLGu0ZYQd+hAGqHHmJEUhMiFRJMRvXETX28jl0yagrGxJLSILJoIfxrskEVZM0/FCl1G8G3uODb5HFITIgY8cgRSx7cTshAF2Bpid2W/ynJ2byiSjZCckMvk6O3+ffA/J/Tt5zslCkdUtmdCdm9ENoQy2rL0SbWbxWsljBEvCdV3CcPv7ThZmPp9PoabkPeu6jm952xZt8lkdx9lG2k9esxcJVk6xUMYejRkOBrz7gXtRI49nn/4yyrhNRo4Y97t0xj1eeOEFpIxBb9AniKAzsjCzeXRdp1isUigUaNSbjEcj2r0u3W6fUJDGcEPhEN0fDpiZ2UU2m6Ver7OxsUGpVOLOfTO0xx650i7++ktfp9ezWLt2hUvnzhFFAZqZZa1eZ2R76AqYpsnhw4fJ5XKEYZhmkv1+n0KhgO/7NJtNisUi+WIpZRUV8iUWFxfJZDLkcoVUHW00Eg3CSqXCcDggm81y110nWF1t0mq1+PKXv8zLL7+c0rnG4zEf+MAHeO6FNX7h53+ee267i7cdPcGDb7+XX/n5n+P8mdNk8woXr5znzOuv8e/+9/+BcBAy1G1yuSyKAl/60td497t/ksuX1tizZ57l5Q0uX77CTTfdhDV2mJubw7IsWu0GhmGkji6e58a0QY3Z2Vk6nQ7Ly8ss7N6FZVnpVGEQJA01jc2NOoVCgVKpEg/0wNNfe4r+oMva2horK1cplgrs27eHCI9er8OVqxeZm5vj8OHD/MOTT9Fut1lbW+MrX/kKx48f5/XXX6dQKKTXyD+VyCTZ8yR7KT3CaNtzk+tppxBYFEX4gcvJt9/z4wNl+L4n5vR9N3YLcOgPx5w++xq33/8AI9sjm8kiex6DYR912xxLBIok3DySnSuSkaPYq0yWkWUJTQrRpPhyi4J4rglkAjEJFQvnKIBCICyuYrxUISAiIJJBikKU+LkKEr68pRh3o8A8GZx3Ut9uhNkmtyePS/49Gcwnn5+87qT10+TfvJFeriRJSBPQyM5dfnJxposumtDVSD9rPCARBHieCJaqqjIaWdsoYUnV0uv1UrpUIrhk2zaypMRDFdsZI14YIAXCODRWP0WSwMgIn7rRaIQztsjns5Snq7z03HfEdxwEeIGPokiMhyPK5TJGvkAURYwch6DTx2KIY6uUixUymo4myXi2QxiComkoyAShkPxUFJVCoUAyQj3odSH0mN81TalUoud0UrzVdUNarRbVapVczqRQqZIvl7l6fY3lyxeQJIn9+/czPT2dbrxJqS7LYnNbWlrCMAxs14tF4jNks9mUWWRZFp7noapCTyXRaMhmsyiKwvXrdVqtFr7v89GPfpSHH36Ys2fP8vrrrwtcvN3mXe9+EMOU+ImfuIfHHn6Ex979MM898zVqlQr/x2f/hF/61X/Bt//xGYhAzslo6PR6AxzHYdeuXYyGATMzM/zgB6fp9XqUyxWCICCfzyPJIgglvoJhGKAoMlEkZHpbrRZIIohduHiOQilPrVYTUFIY4jgW2WyW4XBENmfSajcZjUYpBv3yi9/nwoULLO1e4OD+mxiPh7z68ov4vsvUVIXdC7sZj4cMukJD44knnuC+++7j6NGjrK+vs3v3bjEoxBsD885EdfL6+2ENvCQYJ7S4SXZYcv9WNvlPH2+JwBxJ4Ec+oRTihC5jx8IPPTYaG3ihh+XaREj4KET4KNEEPBBTV6LQJ4AU44zi8VNdCpElhAKVFKFIcXCMfCQkpEhFiiJIFM0icV+ITxgFKJGwudIk8T6RZRRJBGUZiWgC704DywTeuxM6mQyWyZE0K98MZ30zzHhneX+j+3Y+L/1d3p7lT77/Gw3mSCgkBgXIYRqYRUmnQpxRy7JMsTiXLtBE+0CStpw6kkaIruti81TUbSVf8n2oqixU1JTtn6OYyzIYjBiO+uxZ2s3czCxEcPnieeTABd8lCn0MRcF3PQq5PJphkjXEAEoU+vh2SBA6qLIMvkfgezi2FYv5yyAphFIQVwQRWcNkNBhiaCpKFJDVdco5wRrQdQNJy3L+/HkKhQq9Xo+56Wmy2ayAPrJCT6FXLuP7vqDAtdsEgWBrJN/H8vIymqaxtLREv98nDKM4WyxRyJcoFAox9zcSwxS9HrfddjOLi9NcvbrOeDxKBzQURaHdbpPL5Wi1WuTzeR577DFs26ZYLHLzrTfx4gvLvPd97+I733iG47fs5eXTp1hbucbJ++7key98l++88F0G/T6maTC0x1y9eg3DMCgVxWcsFAqcP3+eubl5FhcXaTabGJksljVOf4TziDDC8DwPWQHbGeO3RfbcaGxy8eJFpqenyWQysXiRnwZoVVWxrBHDYZ+FxV0MrnT58OP/JZ///Oex7RELC3Psmpvhc5/7HLVamenpaa5dF9/jxkadD3zgAzzxxBMcPHiQV155JdXduFHP5s2gx+T62nmNiUb3Gx9zI/egMAyR5B+zwCxLYNk9VFUVjQZvTLlSodXr066vUaxO0R31sBwXTVVRwgmH6rgrGkYSiXKWcC+RhVxg6AosMvCR5LiBqEhs/SckPpP/Rwg9YSkKUaIQlQiICGUxXSTJpPKckiQhS290nEgI5pMQRJIN7YQlksfvzJp3Hm8WmCEWgYqD3I1e40ZZfLTj5XZCCTufG0Vq+nsQTOpmCN53GIjXFtmdjq7rZLNZSqUSsiym1TY2NlK4I8kwbNsWAuZsiTZls9mtTvjE95os+NZmnVKpxNt/6ifJ54pY4yE4DqqsQBALNgUB2WyGvGFiqBr1dovI9Yk8l3G3RxCEWLaNefQYShBQNQ3sjE57aON4Pkg+fhThOCKgDIdD8F1cQ0X2x5w4eDNLM2Uaaxu4Hpw4dph9+/ZjmjlOffe7jHo9yuUygQSBpBBKKrOzc8iyzGg0YjwWuhutVofV1VVkWeZjH/sYc3NztNttDhy4md6gz4ULF4SXYADz8/Nxph2m6+mpp75NpVIhn88zGo3ihlwNz/MYj8ecOXOGU6dOce3aNR566CHe9773sbq6yvrqJlNTCu9+5B4eePB2fvkX/wV7F5fI1rKc/KmTBAQsHlnk/37yL9m1axeKlKE2NcPxO2/mxRdfp9vtcvHiZe6++25UVWV1dRXP87Asi3K5QLfbptnaIAjFxjwcaalinG0LveWNjQ3anQbXv7GBpmUoFApxhSAglzDyOfPiGfbs2c3li+dx3CHlcpn1zXXefs+tnDp1CkXzeeaZrzA/PyNwfF1HVTSe+OjHuO+++/CcEMMwuHr1amqkLGCV7bIOyZGQCG50XdwI8gs8/w2P9Txv2wxEmqS41g3/5o2Ot0RgDoS4qzhpwxHOaEjPD/D9gPrqNQLPR1J1JM9FjjJIoUKYTOgRC8UoGkgyYSiaNZIkISPjhQGKIgj2UpxFyzF+SAxmRBP/ieAsI2o4ABVJcPVSTVgJEcoltkMRcGM+cPIzqaGRHDuDenIbvNFNOjkmd3vYrkK2s9GQTPPt1K4Ibyxhkr7+tkZbFBFFk+PRyWfeGglXZAFRFAoFatPV9Pkia/ZwHIf5eYGRapqGbdupZsJw2E/L82Q6KpJA0bZwPVmWwZcgCJieqnHgwAGKxSJrK+tUyyUAFhYWuHzuNLLvk5FjKVjPhzDE0HSkvKAdTleq9Pp9XMsmo6hkFJlx4GMPBwShh2WN44xZStXRMprY+KTAp1YusXdxDnxXSGHaFgcPHmR9fZ1yqUa5XKbdEuV3aWqKSFHxI4+cYaTiPr4v9B5Onz7NaDTi3nvvpVKpCDZSpSJYQETk83nCUIi4r6ysMBgMOHTocAwFiY3Ntm1qtRqyXGF9fZ1SqUSlUuHatWucPXuWSqXCXXfdxfvf/wiDgUuhUKDXFRvCnvklwjDgi1/+O9ZXNlAUhctXr/BXX/grUGXuffABFvfuA0fi4MGDDIcB9Xqdr3/96zz00EOsrq4SBALW6HQEM0XPRAyGHTqdFpKUyOMKAfx2p8mVK1ewLItutx0Ha5XXXnuN2267jWzWYDAc43ke169fo1ot0Whs8uy3v87+/ft54IEHuHL5PIPBgE6ryer1a9Q3N5ifn+fK5cvUajU+/ev/LceOHaPX6zEe2wwGg3RYpVKpsLGxQbFYvOHan0xuJq/tJLnYfk3EcWHHYyehjOTH8zw8373h37zR8dYIzK5DxvOo15u0ux0y2QKRNyaraJz93vNoWoYwEnQnVVU5dOwYU9PT6KZBdzBkNLIZuwGKqqMoKmPXQ9F0CoUCAz8QzzNjCcNIRZNUVN0UO1ncvApjrFSRFSRNJsIjcH2CUCWMZMJ4yMWXgnikWYD9iu+kJyVpVE2S0neORCdyhoIrLdSzBoMB+Xw+dTFJ3IqTxZDYzQPbmhCwxfCYNFFN/t5kKbVzDP3NAnOCWSevkwR2z4vQNEH8bzbbaJpGpVJmbtdC/N6kLZdmDTxP4MfJd5Eoi3meR7PZZDweI8uCE9zr9QiCgEKhwNzcHI1GA1kWymSLi4uUYwgggUOiQJjJurZHPlckm83jjXvccffbOX/mNfSMSeiOMQtFCvksgR/h+B5R5KArMqamkqlWmJ+u4Y6H3LxvD06vy575XXidAa1GE9vxGIx8itUSnU4PXVfJaxILtxwgcjJsXL+CLEWMPA0zW+aee+5FLsyyudHg0Uffi2cNaXda/NzpV34AACAASURBVPlf/RWZXJFcocyrK8sMBgNWVlYolUocOXKEf/Nv/i0A7Xab0UiwDTqdDgsLCywszbN3717h6qybrK2tcfXqVTqdDnNzc4zHFnv37mXXrl10Oh1yuRy33nor47FwZh4MBjz++ONp82o43MKsQ/LcevQ2TMPgm9/8Jn/4h/8LP/uzj3Hf/fdz6dlvc+TWu8iYBg/8xLsZj22KGviBy9XlFS5dvsC9972DdqeJ64rN6eKlNtevX6dYLPLeIw/zyqsv0mrXWVm9QrPZZGVlBT/uIY3Gg3QMXwypZLl06QIHDu5lOILRaIjjWKxvrGIYOmfOnKHZ3ECSArI5jY31FTqdLq32JoZ5gk996r/m7rvvRpaFEfNoaNHp9JBlOdUjN00T3/fxfZ9SqbTtmpxstifXcurGw5aP5+QwWwp/RFvuPcla34kvJ4HZD/4/HMn+/+MIgwjFDwkcG7wAU9EYWTaNeou33XYHkiQxHtvYPZFZOa6NaZqUqhWOHD1BzijhR8KIU1F1VMNkOBzRaDXJT89t4ziHYYjjeiiqlgbOyfLadi0RBKKtExeGQkVqbDuxS8pWFlzSpVRhyvf9uCmzJcXoxNY5mqaRy+XSk5dkjs1mk1KptC3AJid1cnEk9yWGmcltk13gG00HJsfOJocs37iJkYyBJ89Jjlwuh+uKQZs9e/aIJo8kpYu5VMoCYFk+9XprC8eLZDzXxbKG5PN5iCIW5pfiDUqiXm/iuj79fp+1tQ2uXVtB0zTy+TzHjx+nUMgxHI4pFAo4jsfmZl04xOjCdsm2RQaaV1U836FQKrG+fJ6luRojS4xES3I8yCFJhBJUq2UGA+Fs7DoWvmNTyGXRJNBqs2xsbLJWb+AFxHxYBUUSZgG5XBYvGOOFPjKxFoksi+ZcPk9dasWwh0fWzDFdm6XZ6xH0+6le78MPP8zRo0eZm5uj2Wym33kytGLbNo1Gg8Goz+2330673WY4GDM/P49hGLRaHUzTTDfj8XgsuLaamloz9ft9qtVqutay2Sybm5sMBgPm5uaYn1+kXm/yl3/+Z1y6dIE77zrJ+z/wMF95+jucPXee++5/kEOHDiNFKr4HHg4XL57n2rVrQEgY+nQ6LcbjUZohzs7OcN999/Ef/sOf8dprrzEajajXN8Rwlu9TmxZNSkWRUZRk8CoEKaDR3GAw6GNZI9rtNrYzptHYZDDocf78eWq1GoNhn42NDc6efZ2lpSU+85nP8L73fQBNzdDp9BgMhhAJNkdy3AhL3gn5TcaG5BqYvH8SN558PAhIc2eGvdMzc6cj+Y9yvCUCsyQhpmqCEE0RAtx+b0C5WEKJoN/rYegZKuUiXs7EVYDApd+s89Kp55EUFT0ruu6qlmFuaQ+maTI3VeX82gqZTIb5+XkyuoquCheNyHOQMgYZTcaTFGTiYGoocXdeyDb6ti0CpeehSWBkTbzAT0XF+/3+NlUwXdfT4JxwHZPJQ8uy0hNq22KsdXp6Gtu2cV03DWZJkE0C/OQsfnIxTjYsJhfQJCyys+m47Ue5sfJe8j52Pj+BGSRJTGIZho7nRtiBjWGYdLujNCPO5bLpQk2aLaVSKW1KZbMmiayA4zhIspaK0aRiT5LK9ZV1arUaqqpSbwi/NDNboNVoItlCynI8ssVrTpXQMgZj22V21zyN1galnOAdiw1NJSTAiFTKRYF7D/sDXGvMeDSgUirgZQ3soUU5n2U8zuE4A0JfQCF+GG6JuYchBMJKS1FUZFXIeubizbbdbuNZYzRNoVarMbQ93CCgXC5z4MAB7rnnHhzHod8XQj2dTodMJsNgMEDTNGq1Gq1WC8dx6HQ6QtND1uh2uywtLVGvN+Mqq4Druum6Gg6Haabsum5aaSSQWKlUSkXum40e7VaHIIx46KF3cevtt/GNb53i6aef5l3vehd33XWSzXqTleUVCqUy+XyO73zn2xSLxZjDvMFwJPjie/fu5fTpV5mbn+Y//t3f8Nprr3D58mWCUBjxZnMGYRgQhkFcPanp2nZcC891GAx6SHJAo7lJp9OK11GO8+dfF3oVoZ9+tvvvfYCPfvSjnDhxgpWVNSQUOp0OU1MzSLBl6xYiRKnZPvSxM2m5UaCeDNLANgGi7c/drqmTZOWT0EZq+Rb9cLu7yeMtwWPeO1uN/qt33kooySiqTrM7ZDgYU5uZZn7XHLPT0yzOzSCFAr8ZOkLoWsvoTE3P4Lo+tuMhayphJLGxURejs9Uat953n2ADKFoqI2jG2Z4oL2JB9litzLOH8cRYgOe4ZNQMuq4zclzcwMfzQyzfpVQpU63VKOSrdLtdNjc3U25qElySk5WU5ZYluszlcjltEE520RPOL4gM23XdbdZUsMWp3Env2fn3dgblnbftbP4lRwIZJJ9ja2MpYBgGppkhDIQ9UBRFdLs9LMtiamqafN5AUcCyvK2R1UgYeXY6HeQ4s7RtO9VE2LNnN5evrPLcc8+lU2GyLFMqleh2u2kFcdddd6GqMq1WRwRHTzSSeoM+xXyBqaKJgkexUuDzf/A/cuTmA7x++hVMR2ycfWvEaDTCch3GsZB7o16n3WgwOz3DHbfeRhiGWIR867un2Gh06dsua+0RkSSTyWQ4sHuJ/Xvn6W0so0micTyOsszs3s89D/wM73jovWiajjsegy/cMjK5PLJu4gYRGVW4nViWoINpmsZoNHrDJpycByUWKRsOh5SKFWq1GteuXUudQyxLbITVahXXdRnEov5hvIkk04gzMzNomsbq6irVapV8Pk+nO+DZZ59l774l9uxZwnEsvvgPf88jjzzCteUVms02w+GYW26+hcuXrjK01lLWSKvVoN1uc/7C66iqSqvV5GMf+xij0YAXXnhBjK5LEjMzNer1egrf5fJmvKZIbcYsy0LT8/T7fe655x5efvllcrkc9Xqd0WhELpun1Wrx4Q9/GBCbyz/7xCexbZt+v0+xWKbf74tESFIn4AdRCYcE2zLZ5EgSnCTJSariyaYzsM3lffKaS65Tz3HTCjcZSkmmFmFS6iFC1WQe/8gTPz48ZkmRcaVQZB5EtId9okii0enSHfTpDfqYpkalXKY4VaJEPm0e9VotVFUla5pCoC+MmK7mhVGoO+apv/8barUahw8fFrBFCN6og6wIwe5+v4+kqLiui+M45LIaWSMnMqIgIDJyRBmTqVoVI1tCVoWqmZbPITx4dKZnZlAUJSb/5+LyOb7A4ux5MBiwubmZTqIlF2ShUEj5m8lJlGU5HiDYmpBLqGZvNkG0s2kxuYh2BuYfVlJNbgAJpU3XdSoV0WDr9QYU8gUMQ8VxxPvN5XIYhkEUgW2Lc+C6TrqYfd/HimEF3w9i3YRC6gK9sLCA74e4ro+iCIzdtl3CEMbjEf1+n1deeY29e/dSq1W4vlrHMEwypkk5DtyyqqErKla3h6RonD13nnK5il3vExB/H6qCjk4kRTiujaoqKd4vKhUPhZDpShlZUSk6Ic3+MpEkVAmjKMKyHDwvQFFlJEIUVUnlK0WWl2dzdZXZqSq6rjO0HaTIwY8khr0hhmGk1VOS4SYXczabTV9H6A8PmZmZSddMpVJhYWGBZrONqqo4jpv2BJLpxm63i2maKad5UmNlelrwri9fvsx//Lu/Z9++fSwuznPu/GmuXr3CnXfezsbmdS5deh0JBVXV6PfaNBqr+FGf3bsXWV1d5evfeCbGbqHTafLQQz/J+z/wGL/4i7+YMkSSaT8zm6FQyMcbTmLGGxGGiQIjjEY9gkB4Is7OTtNqtdjc3BSVgqLw6KOP8qlPfQrTzGEaJhfPn0fXDPK5MtbYoVgo0+12yWSUlDWkKDFlLXpjYE6ujclGedK0mxS8T9buTn3lSajCc9xt2XUSyCc32eTfqvrm6nM7j7dEYA7DCF+RGI/HdLo9rqxuoMRAfjGbo9fvY9kDFufnmKnV2L80T7VUJJczGY0scrkcqpbBcRxs2yajyISS+JJqBQN30OY7X/sKqqqSyxeYn5/HD6MUMw2RcRwH13UZGjJyJCNLknDADgUNzywUKZXLKIZBrlQkindWvXaAWq2G4zhsbGygaRpTU1PphTEajTBNk1wux4GDBwFYuX6dZrPJcDhMd+ekqZfL5SiXRRaQ8GCTpuDOBt9kBjw5YffDOM9vxh5Jjp2BPAm6vZ5QFhsOh2TNPMKiHmZmplFVcF2wLDeVVvU8T5yLuLxPPsvWwISJqsJo5IKiUyiVkRQVx/PJmFl6AxHEBq02tuvxvee/z/XVNQ4cOCAqEyIIJLSMidXv4wcRpaLJq2df4/4H3slTX/p7NEUmMwEpaZqGrChEkngf2XwOazQgDH2iKKZyOWOq5RKqYWKMfCRpGS3eFIMoFOvE91Fkhcj3UDRRec3Pz8cbqpOe7zD0CSQZHwnfE83NZM0l50xkfcW0skgapZqmEcliaq5YLDIaWjQaDRYWFoAt6qDnCcaLGGkWtyXUOUmSYm/DcQoNrK6u8vTTT7Nn726OHruFTreB73vISshg2OL8+fM0NpsM+yOOHj3OiWOHOPX8c6D5NJqbANRqUzEd0mBx6Q5++7d/m6997assLs6Tyeh4Xki318YPXPL5fNxbseKAuWW3FkURmq6gGwaepzO2+nie6BkcPLif++9/kJ995FFuOXQLw9GYs2fPiv6DlkeVVAI3IJvJIkUSnWaHXbt2QYBg4gRxo07aTlsDkXzsHAJJrjNVVbcF4kSIKUlUkgCe6rYH26+55PadQ2Bik/zRjTveEoHZ1HUeetvd9IYjllfXUEMZWc/Q7g+YnZtn18I8d999J9evX2d1NKb18gXxRClkaWmBge1TKhWICFFNjdCNcC0LRZdxJQ1TN8gXyuAHEEaMW32IhFVQIVZZk4sFoZGgkGaruqKmO6Y7aLDR3UBGSst9VVXxpJfwIonHfv6XmSsV8WWVc1dWyRUjghDOnTtLIZ/l8M2HuHL5Ip7nsWfPHo6fuB3LchiNRkRRhGmaLC8vc+z4YcIQJLmOmTMpFAoMh0NxAZdKuK6bKuUBbG5uChePKMbAZEkErShEIh5xDX0C302DbRAGSBFkMgauK0oxI5PF98WC8tyIfL5Ep9MhnyvS6w359re/w+c+9zn+9E//FNf1sKwgLmN79Pt9ZmZmUFUV17WRZBU9o5AxChhGhiiCCPH+fN9H1SRkBZAgl9exrYhiTsf3QsqlMoqiYqga16+tsmtmLi6FxWi9EinY4x6HDs5x7domoRcROj02NvvIyhyHbr8Ty7L4xTvv5Qc/eIm//7/+iCOHD1G/fB4lgLyZQZcilHwO7CEdGQJJ5pXly0zPzqDqCp5tk8nrqL4QQzp+9FZWV9fR5Qzt5og9s4fwbQcpI+HkAobjIfv3LxG4fcxshr6k0LNhba0udB+GfQxVI8AVPnvxRSwDZiYDYYhChCpLYqo08sH1kVUVzw0IfCvd5M+cOcOxY8e4fPkyigJR5GPbI/r9TjqYUalsrZPXz71GLpfD931mZmqcOXOGt91xDNsZMBhs8nd/96SA6kYjnv1Wk83NTT7ykcc5fvw4f/RHf8Q3nn1KOLioGqZpsrKyEkuO2nzyk5+k1+vxnnc/RhRFnDhxgvpmA9dtYRoGkhRSKZsEgU3gO8JIACgWRPWVMDranRHzs/O8/IOz3Hzzzfyff/J5giCi2Wzi+yGXL64iSRKV4qwIgmaEG68nO9a8npqfwvFtgjAQ8EUQww2x40uC+8qyjBe52zLlFJ7wA9wQbNtNA/dkAE8mVicn/KQoTJUqEwLBJPspCdBCb2NLQP+fOt4SgVmSZXTTwB8OQVIwsnkcP6Beb/Lq2XPkcllM02RxcZ4TJ05gNzoxNLBOvV6PnQ5GIEVomkI2a6SliqZJyPEAiaxIyIqMpsgp1hWTlQUNS4IwcOOyPIJwS64vnVhj+9CI53pkcnmsRgM1WyRQIJ/P47gusqJx4vhxer0O/X4/tX9vxfCL53nU63Xe9rbjXL26SjabZWVlE03TWFiYwfHCNIsWXfsskCMMtxp9iVJX4NvpYkkaXoIi1SOXywk8cyyYCNVqNRX/NgyDrJnHspxY5tSiWqmxtrbGwYMHcd2ASiXPhz70Ifbu3cvJkyd59tlnAVIuaELvSzKHSUhGiseo8xO4vljIwjk5CESA37t3L67jY1kWtu0SRTA9M5U+R1X1FFaRNYlGo49pCsyy3fEoFot4np/aExmGwYkTJzh/5Ajnzp1jaWYGZ9gDGeqNFoqM0HCWhIv0xsYGSDKlrMFwOELWTHRdZ2FxhlJZZJ3ETs9+YGG5I0LfwyzNkM/nGVsWldpMip2HoaBl+fGGKCswGIy3KH/x+koGx4IIpDAgkmWyqsBku854WwBRVRXDMLhw4QLT09Ncv36d8XicNpw7nS5iRH43rVaLRnMT3/eZnp4mDH02NjZi8aBNVA2+9a1vcf36daIootVq0R900+/t937v97h+/Tr79u3DNE1MM0uj0aBer3Po0CGOHTvG4uIiTz31FJIkMT09Tb1ex7ZtSqU809PTRJGogpPAlc+LCUhZUlIdlG63n2LK73nPe3jPe97DYDDg4sXLzM3NbcUISUKW4z5MrJWys2qENyq6hcF26tskhW1yzSYYcYif9qImA3OyricDcxiGaIr8hiA8+ftkw/3HjpXhBwHLq2tcW1ml3u7geD4DyyaMIhwHxuMxn/3sZ9E0jdnZaT7+gQ8xNzfLzYdvodNp0Wo0MAyNMA62QZDfwlRDMTqsSSIDllUVopAoDAgDiSAMBf0tmTKTt8xEvdDb9mVKSZSJD3EyHXA0Xnn1JU7+9MM4vZFYcIMWrjdkz+5FisWiEE1fWGA8HtNut7EsMQU0Ho/53vdeQJZl7r77dtbXBQHfMAwkRUpthZLRZjVmACTPT6YGk8GFRE8hWXRJ4A7DkHyuKD5DJBGGgi2hqZkY87YolUrMzOxCllTK5RKj0ZizZ19n9+7dXLp0iWq1yu///u+nNvKdjmjEJT+SJLjMmr6FhSdTgrZtb6MSJe9RkiTCCGZmZnBsj8uXL6cXWzabJQoFRXBuboFcTkfXQTNgY6NNu91mbm6OcqlKpVoSpXH8PjY2Nsjlcnzkn/0CX//yP/Dc17/GQq1K6IyZnVukvrGGJOvC1FVV6bTq5PIFht0BXgTZooluZoGQ69evkskYjOwBoeeBnEdSxihShGHm8IIQx/EYjcfIqpkKrJdKBSx7JFg7gU/WzMc4tYUfeMhIgsGSNKXipWZ7LngQRtsFcZKS+Nq1a9RqtTSgJG4qnudQLBapNzZ4/dzrsY0VTE9PYRgGr776Cu224BtfXb4YBws/lRr94Ac/yBNPPMG//Je/xdmzZzl06BDr6+vkcmY61ddoNPjEJz5BqVTiySefpNlsUqlUmJ2dZTAYoCgKpinTaLTi9agTRT6FQpFup0cUQrVai5tzIsD+3M/9PADHjh1D13Xqm03m5ubioCj2LrEmIiRpi7sP6b6W8okn11gQBAT+loYFbGleTMIbye+e5xFEpNBh8t0nDfXk2puMCQmOv5NiOhmok9sT9taPcrwlWBl75qaj99x1E6OxRX80Zr3eRdV0qrUpXn31tHBLyOjkczlM02A87KYB6yfe+QDzszPUKhVUVUaVZTzHRpHERRrhE/oBMhIZVQyoEOsb6JkMkqrhhwG2L5oukRQSeH4qpq9KE6VQvCBc1xVj2bKMg4IXyvzg7BX+9b/991zfaFKZ240ThCiyRrGUJ/QE51NThUvF5uZmytWtVCrYts3Kygp79+6l1+ulXFTHcygUCvT7/bSMcl03zkaitPEWhiGrK1cF5BI7Cic4Z7IgkhHdxB+uWCwyHo9pNBpxp74oVNPW6/zUQz/FsaPHuPvuk/z0T/80R44cwXE8vvCFL2DbNqdOneLZZ7+KbW81TSYXou0MttGPQFw0ySjsJIZXLBbRNZ16vYOiKKytbmAY2bgiqpPPFSkWhQZCEIisxo9E02xursraWoNut8vefbvTwFAqiUw+CAI2169QyOZwB13+0xf+mpXly8yVCwx6LTqtJs1Wg0KxyPW1VYysiTX0sD2XUJLRTAPZ0EESmg6RbxF4LrOVAhIhxXwBRz3AbbffwUee+ASSkidfnqLdHQi9jLk56vV1quUi4/GQSDJSZoosy7iu4CuLC/+NDd4g8tMBn8lyPFGg27NnD41Gg16vx9raGoePHKRYLPLHf/zHqKrK0aNH2LdvH/XGBqdOneKFF15gdnY65ZAn2fav/uqvcuLWY3zsYx+jXt/k5MmThGFIvy8oio7joOt6Op134cIF8Z3Hwy9zc3MEQcBgMKBardJuNTh69Civvvoqv/Vbv8U73/lOms02S0tLtJodpmeEnnV9s85wOGRsW2IAKe5RiGb5iEKhQBBsDYHIkvgu1Mx2WlsUxM23+DvyPA/iTNkLtoLwZOaaPHcyALuuS4iUSpAmfyO5P0lyEp/GKIpQpO2spyTDTqrsyZ6Qpmm855GHf3xYGcPRkNMXzmNk8/iBRL3bIaObIlgGEZomAk2pXEZVFHIlk5Lr4lg2L770EufzJm87cYJysUCpUCSjyESyuDAzWkSkSUihBJGH5/pEvmANGL6JkjEIEbKfvu+JIG3bqLKCaYpyNvK31NvkyVI9krEdl9JUjUqlzNmzp7n56K1cWl2j3elhZPMcvHk/jY1NqpUSmYyWTi/CFjc44Ui6rkulIuQNX3rpJQ7cfBBdz6CqGlNTtVQUKJfLoaqQUCtVVaZarabBMZMxYx61uD+KwPe3ppgURezqU1NTotNtmgR+hO+FzM/P897H3suTT/41g4FNLmewsdHge997HoCTJ0/yh3/472k2BzSbTebn51MebQJpbAXkieakpKLIGoEknJfFYyKiUEKWSUvbfCFLryteO8k8+/1uSicLQxha7XRTymaz4jv0RHUgbO/7aJpo+u296RCXLl3m4IEj/MyjH+Av/uzzDOwBY1di5EqomTxeJJExcnR7/dh81cENAxgMqM5MgRwxHI/IKBKiHyyjyQq6kaHRGnLnHScBmdm5Oa4srxCikDEMXN9BUSX8wAYpQI5CQs9n2HORNVHZVKtVPM9NdUMSGApZIvC3JjDFedzixqqqSqfTYTgcEoZC0c40TwiTWN9jaWmR+fl51tZXeO2111hevsLBg/vJ5/M0Gptcv76GqqqcOnWKl195kU9/+tNsbm4yOzvDuXPnUNV4Ki8UQvGZTIb9+/fTarWQJDGevba2xuLiYlphJuPjN910gFdfPc3c3AI/8zPvYXVlnbW1DaJQNNmvXbuOYWTJZrOCaxzJRKFEtVrFtm0Gg1HaLJ6EGkKSjWmCRxxMOOgkATiMCBP8OP6RkwshigjjRCK5j/h+KYrwg+1Kjcn3PmmOkQRdIBZMi9JgvBOuuNG8wY9yvCUyZkOXo0ouIgxA0WQKxarIko0sRw7dgmtZvPzCKYrFIo49Rilp8fMyZHUNKQyYrVbIaBoZTaNSKFAuCv1lXRphaBny2RwSClIUoSo6mmGiKjpOGBBGEaiCDiWrWlrKhGGImTFENz/aYiw4cVkuy6LjXm91ceQctbklPvFLv8baRodGs5vqHjiOg+96lMo5ut0uw6EQOM/n81iWRa/X45lnnuGxxx6LL1QhmpMr5NPsUmgRdFKKna4rjMdOPNaq4Tpumi0k2amRyaKqYj32eqO0OWEYxjacfHKcdGVlhQMHDqSLvVTKcunSNVqtTkrZSrRsL1y4wIMPPshwOBRsjRjiYMI5OOlgJ6Plkws4CAKy2SzFYpYLF67GUI1Oq9mJLwaN0WhMGECxWE65v2qGVOwIQqamcly6dD31alPULa5p1xKNTi0KiHyPWrnIt7/6Zb7xzFNsrq9h233q9Q1uv/1WVldXqTcbrK6v4fo+jucyt7CEJEkCinEddFWlVq7iuy7ZbJaP/NynOXb8VqZqM1xdqRMi0Wx1uOXwzQyHA8LAYtjvkM0ZKL5CNpdDlpVYpH+ArIimmpoxBOtH0XC8uJQO/HRcPTlPvu+nFMuE0fH8888LKc6x0N7QMyr1ep1er8fm5jqO4zA1VWEwGJDL5fjd3/1dbrv9BH/7t3/Lb/zGbzA7OxtTPbO022127ZpJ5UFzeZOpqSk2Nxo0m810orDX67Fnz54USvN9P20C/+vP/PdUq1UMw+Dy5atUKhWhEjcWmaiq6ilrxzRNbNdKIajJAY1knSRwQZLQRFKIIslb/G9E4HMcRzifT2TEjuNtgy4m2RdJJgykG5AbRtvEs5LAmtjSJUlUEqSTfhVsZ3G8GZTxX7z/fT8+GXMUARK4AYReiBt0kWUVWe6TNXJMVcvccvQY3VZTjNHGu2KEg6YpEEY4QYjtjpBiPHNkiTHeqVxEhITqG2RUGVlR8cIIPA/H9WMBJFnsqLKE43nIioKW0F+iEHswENbtsSh+kiEA9EdDSoUcXU8VEo62zbmzr3Pg0C2Mx2NMM4ehZxgOh3S7XSqVCiCYH9VqNaXT6bpOp9Nh//49uK7Q1g0jiTAQ9w8HY3RNjOtaY4coNMiaGTqdIVlTlFaNRmMLy4pkdC0kiuS4+ZYDcoxGdpx5Rui6lpZtmYzQEpiamk6HOKJINCo1TUORNWzLpeG1qE3NEIYhe/fcROBHmEYO23IJA7AtF8NU0mpgsmMNWzzp5P5isYjvM6H4JVwsRqNROs6OFGLbgmImTDLFwIcsJ2afAXv2LOG6onkoyRObj6zgew69Xh8pCLBtl3sffIjjt97Bc9/+Bn/9l3+GlsljOyHZXIn21StsttoY2TyGkcf1BL/asRxCD/LZDJpW5cTRIxw+fJiTb387rh8QRXD16lVuOnAwhZPy+TyXLi1j6hpmxqBSztDqdFBVnVxOoVqZ48KVa3TaDQqlEvV6nVJZ0AbL5TIRUaolMh6P0/7BYDBI19KlS5fI5XIsLi7yuc9/LE3zKQAAIABJREFUid27d6NqMqurq/Ewisj02u02x48f54knnqBcLvObv/mbfPGLX2Tv3r2UyyV6vR69Xo8oEhhqvSGMANbX15mdnRXDOZaVjoLPzs6mWf5gMGA0GvELv/AL3H///WS0HJ1OD88TVU+/30eW1DjLlAkCJ876dRzHI4ztm0Qs2M6UmKSnJcFOliYMisMwzY4VJCJJIpgIzpOSupP4bwK/JYlM0tyT5K1Br8nnOY6z9ZiJgD1p+gBbXOak0Z/QHydFkH6U4y0RmPVMhgMH9xIiEwQhK6ub9HpChOTV02coFfIc2LsbWdMx8wUGVpMoCJFcCVXWMA2dZreHHNPAHMdhZFl0hyPcsk5G13E9CS12LsloBpLtAEKoWVZ1VD123YhpWQGitImiCOSt7rIe0+uSHThnZsgYCq3GiG6/gWUJxbReV9jtuLYDhHjuFtsjm80iSaKxVywWqdVKPP+80G8AAU1EkYZluyn/NilzJ5sWYSjHjiFb5ZbwJ8sQhiG2bbOx0UNVdSrlKUxTuI9cX1kjlxNDCJNODglPejgcptl3u90mDEP233SQffv2sbq6yvLycjpinVCekkzCNM00oCqKiiQJpT5ZVuJ/Cwsn0WGPkKRk0ipMM31dF3hr0sALgoBBfxSzDxzcGA/M5/Nx9uWwvt5genqaqakC585dERzeYg4rMtFVDdMoMBz06HQHRK5PIWfy0Lsf5R3vuJenv/olvvfdb+OjkskWcPwI37JA0ZjNlzB9yO4qcN87HuSmPTfx+Ic+DhkJt21Rt9dxXZf1+iaXr17FB249cbvAy9c2yKhaOkjzzFNPsm/fflQ9w9zCIs32BotzFUbjHF4YsV7vMLKGuE6IoqlUSkWKxWLKjU/MWlutFu12m83NTWzbJp/P88orrxBFETMzM5w6dYqVlZW48oNdu3Zx4sQJfu3XfoWZmRne8Y534MRZaqEgJutElgej0Yh8IYueEdDRLbfcwubmJp1OB0mSUvPYZJACYGlpiSeeeII777yT1dVVQl9AFknmSCQjyxGwZUwMW7z7SAq3XVPCkGBLuVCSkuzZT+9LsOLUHIM32joBKNKWeqQkSeJfkkhWZElGU1SCuMIL8PESfnK0hW1PMip2DmtJbL3PyQnBySO5bv9zjrcElDFVKUV33XaEbL5IrTbD7MJCKthz7vRpXj/zGi+/fBZTh3K5gK2EacliZDRMXcP3HGRJWNsbuoamK2iyQkYX+PRMdQpNUcnqGeama2lJrSgKkbwlRuN5AeViKS3PVHnLkinBnYvFIlHcLMzlM8i6SaCV+P5LZ3j/45+gMwrIl6s4tkc2myefzVGuFFlZW0bXdaamplKNg3K5jCzLbG5usrGxwU/+5P20WoJaNxoLBbpyuUyj0UjfR+J2YZomm5ubTE1NYRgie1xfX6dYKAOi/J6dWWBzc5N6vUm1OiUCvZrBskcEQUC1WsU0jYkFF9Fut0EKU+jB8zwunL+CbdssLCyQyWRSgffDhw9TLKqsr/dS/Q9F3cJGk6BkWVY6hpuUhGEYUi6XcT2LZkOwLObnF5Bju6/NjQaGkcXzfF5++WV2zc6jKApLexbTkrQ6VYkV+bYU+HbtKuP7sLFR5/ULKwDk80Xy2ZyYDhyPcawxnW6LfrtOJqOxb8+ikARd2hULAil4jsP6qhhPXl9ZRVdNhv0hupxlZmaGSqXKxfXXqEzVqE3tYmH3fizbo9FoMRz0GAz61Co5HMsiX8jy/af+N7GmLy5z6+138uWvPMN/8xv/it033Yxl+xQr8/T6Q1xfohNv7L1eLy27kyZcr9djamqKRqPBSy+9xIkTJ/jCF77Ahz78fjGk1enEMNmYUqnE4SOHUFWVJ598knw+y+nTpxlbPVqt1oSThzhfpbLQnDFNE8MQPn4XL16k1RQN15mZGT74wQ9y2223sWfPHur1epoxJxt16EcpiyjFZSUV0zQFPZEtB5woiuV0gyDVK07WoYA95LQRb5gi89QUPb12FUVJYcYkU06af1EUEe7QS09ocQlNc5L+NhqNcLmxy7zv+ylso2lamlXLbGnCJEM94vuU3vBvTdP48Ece//GBMiQkds3MkS+UMHI5Rv0RkSw+zO1vu4M777yTPd98hpd+8CLXVhpki1psUSTI+Y1Wj6yRGE6FOL6H6orsWLbAcEKCUEFTVExDF8pySCiqjK4qqW6EJAlcM5PJQKzL4cVNAs/zkCIRYCZxKc8bkS2UyU1Pk8/n0XWVS6+cZ88+gTXu3r2XVqPJyy+2ufXOYylTIhGST7r0iTaA60ZpGa/p2ViTQugCJ1NzqppkqIKHK4TT1W2LCCSCIGI8HiNJCrKs4LkBYehhSyLL9eJSVDTtxEaTzwuWh+cLLmei43HHHXfQ7XZZWRGiULVabWLMvEY+n08V9lQt3EY5mhzzvlH2kCxy0eADWQbfFxtQ0pUvl8vkC9kYby7ieR6NRoNiqZDyvJMyczz209J/397dWJZFp92j7wfkzRzVqRqaorJ77z6uXD7P5uYaz373H0UAfCFDJqOhKhLWaIg17jLs96iWyvzghe/jui7Hj9zGWn3Eleuv03O7OJ6PH0J5aheqnmE8HmPZNqqq4To+g8EAVZP5wQvf5F0//W7uefsxcoUcD7/7ASrlLJury/ioZLNlwsAjk8lRyOeRZDl2nQ7p9/tp8EskYg3DoFKpsLm5yZUrV5ienmVtbY18vkgY+lSrU9x5551cvHiBVqvFiRMnOHXqFKdPn0XTw1SzA8LYHqqM53ns2rULyxoxMzPDc889x+bmJovzB/nkJz/JyZMnWVhYYG1tjX/83vfTcr1SqbC6sh7TMs00Y5YkJcWLk41TON5MyAjEfpFC0CpKx7dlWSaTiTXMFQjD+HnyhPRAmFjybnGUFSQi+Y3GyTsD5WRTNW007liryWtOQivJ/WIdR+kY/U6YI1nb/2+Ot0Rg9oOAKJTQVR1N0ggUGTXOLJeXr2IYOidPvoPdu3ezvrrGP3z1q4KsP4TqVJFyuYLj2EgITNX1Q7xQ4HxKxsB3AhiMycgqOSfA0PpkzQymnkE3MmlAl2VZeJpMwAVp40pRUiws0bkAiPwQNZOlv76eDhPcdtttzC3s5vyFS0xNTSFFMOj1qNfrZLPZtIk3NTUFQLfbTTOdq1evEsRKZEIvQWQRyUh2sluLhRHFjhA2hYLIGKNQYjQaxzj4lopdFEqxB1uiYCcCrzV2MA0fPaOmspQAnhuk3OgEIikUCkxNTaXaErlcjn6/n2KOiWaEJClxZhQKHqoEiqKlkIsQTwdRzorFG4Re6mCh6xmCwCaXyzEei/e/a9euVEtC2A2J5pfvBSnWnFCZhsMx9XodyxpRLc9QymUxNINBXyjgWZaDq4gs++DNt3D7206wtrqG4zicvbBKvbFKp/X/UPfeUZZdZ5n37+SbQ+Vc1V2d1WoFy5ZlyUKWsDFOMwYZxgQbMIbvI8PADPCtwYDH4IEBBgYwDDMWBhxGXhbORpaMFVqWJbW7W52ruqq6K+dbdXM65+zvj332qVMl2ZaZ+UOcte7q6lu3zj1pv/vdz/u8z7PK2uoSvlui2ahQ2IqT74gxMLCfy1dOUylXyWYy9AzvY3N7k1e/5i6eP3+OSqXG2Og4vg++52ImUnR1ddPZ2cF999xONmWwurnG6soiHZ19LM5NgxEDLc6avYym22SdNNlUkkKpHEJSqhahJqW5ubmAiREnHo/zxje+EeFrlEtV9o+Phbjs2bNn6e7upqMDPvrRf+D69et0dnQzvzhJIpGgXq8G19zGtPSgg1NO8MvLyxSLRe6//37e+uZ/R39/P+VymSeeOCkbkyJCTNeuzZJKpfA8L3S0VlCGMlRw7HYImclnJBh5QgtplIZhoBsevq8omBqmpbM3VEWDavRftfILKWvokg+OhC52oAyJSXu+DO6aL9AFeLy47kxUOGwXS0bsxIgojq2Sj6ga5L+6BhND07F1E9t0cKwYDd/HCKT8rJiDYehUajUsJ05vfx+/+Au/gmXLQPLUU08yMzNFpVbHMPRQzN33fTy/TbspoNagsFXG1g3iliXxMt8jl0mxf98wjmMTi8vMMGZYIcbqeR7VslQDq1erQLDkCgR5AHo6U1ixNJn+fQyOHpK6EGac5eVl2u0224UtbNumr68PO2YQi8UYGRkBCINsV1cXV65cYf/+/WFxRQnLSwxZLrOU7rNa2rZardAhOZ0O5CbbbdbW1kkmk6TTWZaWVujs7KJWq2EYkjtdqdQCPz2DCxemSCRi3P7qVxKPJ2g2m0Gm6lHYKoeFDNuSmgxKqrRaleJC8XicRqNBpVIJC31zc7NhwCiXyyGVSlW7ow+w67okUzLT7u8bDAtntVot7FhU2bSiauXynczOzoYiVIVCgWwuE+hae1QqFUZHR6U2iqWxul5mYf46tp2Q7ck+JNMpDMOgWC1iOzYbW1Ilb2D4CCOjB3FssC0Py6xS2FykWFzlrz70R5y5UCGZcKhUS8wtN7kt38Fv/affYbNQYmxshNOnz1GpVOTElUjjODbdnR10d+ZZ7IqztDTNzbe8mtGxQ2Q7ennwoUfBSGBZadY2awyP7GNpZRMNgxY7tYNsNhtolhSZn59ndnaW+fl53vGOd7CyssLdd9/N4uIyAwNDbG9Jtsbg8DATk5c5efJrPPvss7TbTXxfUCqVA6giRrMpJzPXddm/fz8rKyvYtlx9DQ0N8du//ducP3+OYrHM1lYxlIUtFstSxTEo7Lquy9LSisweW+Uwg3ScWMiosG0JmdlWLKSfyaYtO1iFBr0HbQ/PawedjjttzJqmJvnI3wbXSNmTaZqGHlFq1HVzF5c4jDlBV55iKqn39EDbZe/novWdnQREuhgpWE7RRdUxKfhCBWa5Onlp28siMAsglcsgNJ+mWyPmOCBk10/McBAatF2BbiSIpxLQcqlWavi+xw/f/04a7Tqf/OT/Zm5xjrW1TenHZ+gI3yBh6ri+h2aYGDq0/BaVNsQdm2KzyfzaBslEjGRcVvFzuS6SMQfNsHD9NsVGmWYDihWXdkM2cMgllpQD7R3qoVL32CpvM5awMRwDXRjUtrdpNGtkEnFMNBIph5Zp4QsDX0hsTNMtNF2nVK5iO1IsKJPtZHV1FSeWQkNQLJbJZrMUChscOXqIRNKmXi+TSmbwvDYdHV1kMzm2t6psFWRAaDY8HBs21gs0mzKY+8KlXq0Si5tYtqDVqlGuNBgZ7Wd+fp6trUKYwdu2Q7lcRddsCptSrayvP46NTq1WQdeRjh6pBNevz3Hs2DHabalXcurUGcYPjLCyskKrKfWbe3p65UTnejiOTaVSoqMzF0BH4LYgk+qmVm3Tbru0W5BJ56jX61LIqFymv7+Hgwf3o2kaU9OTFAorgI9pgGValIsl8AXb29sMDg7RrLdZWF/C9TxGRkYYP7g/kMYss7a2iEYPyWSSro4smu4zONhPqVSira+xPLvKkYMHGBrI8d/+639i6vJ55q8vc9uR72X/6EGG95t42gqN9hof/ccnWbp2ia6egxw7fistOpidv4Rtu+SzBmmrhaPV8Co6mjbIkWM3cPu/+UG2rl2ljke8b5Ou3jbr61fpSA8zNXOGVx7/firlNovNGB25jBRcSiRot2QWurK6xPzcdbLZNOVSgY5sglZdrgI9t0EqZaPrDdbWZ3j++ZNcvnKRldXZQPlNo1wuInyTZsPHcWS9orMjT2m7Tbtp0pHr5eDBgxw+fJiJywuUiwI726IRwHgtIRDCwxACz22jeS7teo1mrSJ/39wRZDKw8TSBZlvopolhWMSsRMCzl0HP1QWiJWs4tmUgXA1Nl5ZuMdORmLImnYQQOr7Ma9GFBqaJ7/m4biug0wk8zZdZsiak57AWQA5BXPYND18LWBcOaKYedA0b6LQRmgCFf3tthJAZc105lCAwDQPLtmgG6pFqda3U6VTRXgV0lYS91O3bFv80Tfsw8BZgTQhxPHjvt4H3AuvBx35TCPHF4He/AbwHuSr4BSHEw9/uIDpzOfGjP3A/pmmhBzKKwtcQulR289nNKRTNppRoNAw6ujqwLIu19RWGRkbo6e3i0pWLXL58mbNnz3J9bgXThHQyLs06EfjtOq2Gz9BQN5onO+KScYdGo0FnvmvXLOm2ZGHADIoIEi7wiTlxOUN6JZxkGs/K82cf+huqDUEs1c3k1DSVUoV9QyMYukYy5tCyjNB+SbEYstkstVotdDLp7u4OGzYkM0I2lDx36mmGh4fCa9ZoNDF0i1OnTnPkyDH6evM89thjDAwMBBQ4icW2Wi3cts/4+DhTU1Nyie37ZLPpsIMpl8uFWY1hGPT19UnN3q2t0MF4fmGWZDJJb2+vXFG0/YC3HGdycpLOzk6y2SzZbI7llTls2+batWvsGztIsVjEtqWLRizmoGlSm9Z1WwwM9LO+th1aakWr30rnIZnUmZiYY2NjQ3J5PYmRJ5NJbCsWCvgrgwLTlKLyuq7T29fHysoKXV1dlEqlUO1OGZYq9o/KGvcd6mN9eYv+3jwf+fBf8/cPvB9DtLn37vswWv38wPe9ky8+/GHGDiSpNlY5P1HnzLlpfu/3P4RwRlgrFKi1iuSyDrpokDYMhroHidlxLjzzp2wXK5SqOoeOHmerXMFI+lRqm9gxE00YXJte4d67vo+N1W0aqYPYgei7bmjMTF1lYWGB5ZVFqVPe283i4iI3HD3CxsYGph0nkYiRy6eZnpngyScf59z5M+EqTGl/21YMw4yHnaKyi7Kfm2++OSz8NZvNkImUSCRoVndMDKSFmtKcaIddpbV6Vd4/YYXPlupCjTmJQGvbDPWZdV3iz64ecIt1A8vUwfVQXoGZXBY7bmPZNk6QPMUcC0OTQU62u/shOwix04Tj+z6WvqO7LALXnnaEK9102yEUoUSJPM9D+NEiYCD+5e2GKnzfD+s0qh6jjknBH6pDUMFFb3rLm/+vFf/+Fvhz4O/2vP8nQoj/Gn1D07RjwL8DbgAGgEc1TTskxLeW7tciGg/hMkQQaBrraOx25WgHF8tx4gghZUMHh0fxPJ+52QU68j287p4B7n7tPZw6+zzPPvssly9N05WPE0846EB3T5aNjTXaTZdcOkHLBd2Msb4l21ANduT6dE0jk86SDETcVeD0dLDMHE4yz4lXfhfJTDfXl6bpdTopbleoVGqUShUJ1RgWwtypEEdbN5Wana5LB+Vow0etVkHTZJX7/PnzjIyMBMskHdsWnDlzhvvuu48rV85SqRYplZJhZVoLxHm6urqo1spkc2mWl5fp7xuk2WwSi8VYXl4GJM7b0dHB6upqWPlXGsFS58JlZWWJVqtBV1cPzWYzaEboY2xshKtXp0NtY89r02i4VCoVFhbmcF2foaFhtre3icUcOjvzIXat2sJzuVyYdQBhtpFI6CwuFpiZmQmr80NDQ+HD7rkiKKBKsXWQy8/u7m7y+Tyu54UF1/n5+aChJcPi4iLZbJahoaEdfqyus7A0x8zEHJnkK+nv78e2beqVMsXSFt97z1v4/Bc+w8BIL6mMQbm+Sl9njn2D/UxePs9Nrx4jk4yRSOkkEybtlk7M0MGQdke11jbxpM3FK/O0PYfFpXWO33qC73nLD3Ht2gSLS/MYYpOF+WnG9x/m0mqTRFbCPMVihdVVSSNVgXRsbIT5+XkWFhbJZNLEkxI+OnnyCS5cPMfc3DU6OjpoNus0GrWQ4lgoFHBd2e5/++2309XVFXbaNRoN5ufnAUI6ZalUwgi0KPY2TSimjRR3CqAqX2b4SqgrFosRc3aC8QuhiGAyRhr8ygKEEsEKkrLId2pB30MITwS4MpEkU5e72IMXE3zfbp703iKfotVFNxmIXyi3G9XKUC3bat+qAeabdQV+q+3bBmYhxBOapo29xP39G+ATQogmcE3TtCngVcDT3+qPFGCvXvLEVTVfR9f2XGBfk95eplzieK6QzhGtFpYlRdbr9SY9PT38zM/9PD8r4OMf/zhf/MLnmJi4Ti5jULhWpasjjW0Jqs0WCV0KrmuRDiFd13GCY6s3G6DLWbAZSGUClMpNvJVtfuX/+wOeO/U8B48cZ2G5wNrGNrqARsvFEL60DTKSOzNtQGxXwVjhWkoXWlG2NjbWaLt16vUajz/+VV796lczODhIMpmm2WySy2U4fnycz372EySTCVyvERRf2hRLWxi6xblzz9PX10c+LyejzcKqhIniNr5wqdUrsh28I8vi0jwXL50P/eLuu+8+pqen6enpkZj59ja+74fts7Ozsxw8eJDt7W0KhQKjo6N0daep1erEYjaTk5Nks3l6enrwfS88NzQzgDWkpGlnZ2d4f1UA7urqYGJiNmz97erqktmILiEL13WxTCfMdtWgyWazpNNpdB1OfeNMaPy6uLjIyMhIWEhVCnu+77O1tSXviblNR4eEdPr7BtnY2CCdMPjylx/md379z9GwEKwyN3uetc1lHKOfm288ypULZ/met/4wi4sLZLpz2KZOwsmRicVAaFRqVRYWZ+jqHsEXgieeeJIvf/kk1Sa87d9+D2968/fwlrfeh2iZLC0tMjg4SCrVHTZorKwshQ0e3T2dHDhwgOVlqUgoO9ks6o0aK6vLPHnycVZXlwNt5GbYHGGaO89aNtvB+Pg4r3jFK6hUKqyvr1OpVELYJBqoYrEYWkA/U4YQKqOVBV5/V2deq7k72KnnXRXQIrFFJjh+GyE8hDAQrofvtXe6+jRNuUMFQXq3T99eVoYQIrD92p05y0Id4fFEmRjRrkBVzPO9qOnqznko3DiskQQwBeyoLKpsXF2/vQXBl7L9n2DMP6dp2ruAU8C/F0JsAYPA1yOfWQje+5ZbtNoZcouDkzBNU3bkBVVeqYuglr3gYaDpgkbdpdGSdBx0C9drsVWssF2UD/P3/8AP80u//KsMDQ4xOzvD106e5K//+q+5cO4sPT19LC8t0NfXR61Wlq4HyBtcr8t9luot3I0C+GLXA1Zrmxy74Sgf/sT/5t+8/X62KiW++PDnWF9dY2x4hEzKIhGzqdcKtDblsko1mOi6TiaTYn5+Vjp6l4v09PSwtCS5t5ru0WjW2JxZ45WvuoVHHv0SD/zt3/Ca19zF6Ogo9VqT+777dfzzV5/k/IXT7Nu3j0QiERhh1kL1uM3NTdBk4FKV78uXpkgkEnR2dpLJZEgkEiQSMZrNOp2deTY3Nzh06BCvf/19fPCDH2RtTTZSdHZ2cunSeUCjs7OTZDLNM88+zbEbDvGlLz7Mxz/+UX7lV3+WAwcOMDQ0yPz8ZygWt3jmmWcYGhoKtIFbWLbB4GA/V65MSCeKwMVFiTVVKpUwcztw4EC4vPY8j3KlSEdHB+l0mpXltaDo6YX0w1wuzebmNpcvX8b1pcxpLpdjbN8olmVx5coVUqkUm4UNlleWiMVipFKyhV+3NFaWlrE0h2PHTuD7YBgaqUyc337/b/JD7/xxVtZWiKdzOPU8CVcQ013SMY9EErrSBpZl4NiSUlgvl8EXXL02gRXv4vrcKj/1//4sn/rUF5iYnOF3P/AHPPbYY3ziow/yH//jr/GOd7yDO+94DdVKEyOlcenSBQoF6UZ94OB+crkcR44c4YnHvsqnP/1p7rzzTnRdZ35+nvXCGsXiFp2deeJxm2JpC9MEy0oBMjD09PTwhje8Aa8tmS3XZ67J58QwsQODYmWB5sQcNAGNWn0Xn1/R2WRgc0Px/2ZLdpU6diocr/l8PshmVWDb3VGnaRqWaWLoOqZuoAkPQxiBIJmGjoaU3ZPNJEqrRgVr31TZdmAkLAiDsgqEe6EMBSOqCWOXYpwf+PMFNM0oFq4oqWFruBAI191V9NN1fVfXn9r2rja+3fYvI9nBh4Bx4GZgGfij4P0Xs8V4URBb07Sf0jTtlKZppxrNxq5+ePVSOI0yNoXd1U61WZZD2/WxTAdDt6hW63iuBsJku1SmXK7S1dVDtd7kwuUrjIzu49++/X4ef+Ip3v3jP0mt0cZ0klyfXyaezpJMZUkkMziJNKbtoJsWbQFC08E0wTRxfY96s8FGqcKPvffHKVaKvPL2V/DcN77OzLUJZuemmJufZnrmMssrc2xXNtneLlAobLC9XaBU2qZSKVGtlllcnGd29hpzc9fZ2tpkeXmR5eVFXNfl6tVJvvCFzyGEx6FDB9A0wcWL53n00S9z7fo0Bw8e4NFHH6FcLjI3d53t7QKVSolarQoIlpbnEXg0mhXKlS0+8pEHuP/+76Onp5t2u8Xc3CzT01MUi9s0GnWq1Qpzc7NsbRU4c+Y0b3nLm/mFX/h5SuVtypUiz516JsicdCYnJ5iYuExnZ57Lly8ztm+Eaq3Mww9/idnZaxRLMkgkkjGkfOY8W1tb4YBwXZ+1tTVMU9p8VavVkM+qHFyUnogqtlYqFTKZTKjAp3wBM5lMRHTHC12wu7u76e7uDp+VWq3G4cOHMQyDfD5PR0cHrutKZ+aABlit1qXokm0RjyUwbItsLs361ir1epXZ2Xk2CiWS6Tz4HoWNNUzdY3Vmgo6OFOlkgoSTQNdNNje28YBW22X//lsZHD7C+uYGr7v3Lv7HA3/K9PXnuf2OG5lfnOQNb3gD//RPXyaZ6qTtGrRaDZpN6dAzPj7OTTfdxJEjR3DdFg899FDw7Fuh+FVnZ56u7g4qAfSiBU4tMovzuemmW7j77rspbpcl1TAIKmoiLBaLISNIMRZUK3R0VavG6jcLNIoxFDUY3tsNF03G1L4sQ8PUDQxDUeo0yWvelTUjs+QoBKGCYiTSaIIgqO98395jfLGXOj8Vd14gaRuhq0bbxKNazOrY9zJHvpOM+V8UmIUQq0IIT0hw6G+QcAXIDHk48tEhYOmb7ON/CCFuE0LcFgvaPBU8oLI6NfMo9wA1mwO0fQ8vsI9XjRcAvkb4MGqahmnYGKYtK+5tj3g8ydpqgWq9wXZHrcW9AAAgAElEQVSpzH/5gz/m1DfO8O/e+SMcPnIDs3NLzMwts7qxSdP10O04mm7iCQG6gWbI6qyn6cRSaX7o3T/AxcmL3HPfnUxMnmdp+RqTV89TqW5ybfYKaxvzrG8tsrq+QL1RZWNzjZlrU8wvzLK1vcnc/HUKWxtcvHQeNNnYMT1zleWVRQqFTebnZ/GFyxe+8DkOHz5INpdBCKkN8cgjDzM1NcmFC+eo1Sv4wkXgceiwDODr66s4joV08y5SLpcZP7CPa9enee9PvYftYoF0JkmlWqJU3mZi8jKTV69w+cpF6o0q165P8xPv+TGyuTQTE5eZmppicXGRicnLnL/wfKDPscYzzzyDEB4bG2t0dOR4+umnOHnyJIXCBidO3EguJ2U7e3qkAL+ik8mOxVh4zxUuGYvF6O7uplwuBy3rXWFWppbECptOp9N0dHSEov2S620wOTnJtWvXGBoaIJGIMTDQh2zthbW1FVIpuUJIJuP09fXg+y7T01eZnr4KQmdsbJTqdoOtQhkhNCrVKv39vVy5eoUbbryJrUIJXXNot10MQ2NwoIdHvvx5OnIJmvUGnT1ZioUymVweXTMpVSt0dR+mXNFZXF1ju7ZJqbrK0GiKWnOZX/z3P8WnP/0lLl8tUG+AIMH8/CydXXkGBvu45dabkNrJSf70T/+UdrvNG9/4RjRtxz4KCBX58vk8th1jZWWNeDzJiRMnZONIrYnreiEurP7GcZywwUQVBRX7CHZMeqMCVCFXOMgS4cX1iFXAU/9G9yFrSxrCkzonir4WhSp0Xcd2rLDRS0EKZqDQpfYbBl9/J0JHIQu1qYIcsCv4Rn+2bTukpkaTQnWO6jyAXdl5SBAIIDl1HdX1eanbvwjK0DStXwixHPz37cCF4OfPAh/TNO2PkcW/g8Cz325/QqjWxx3Vf8u0cYWPpsmUO3rymimlInUdPOHScgVCM3YES9BBA92wwuWPtCaSLwyTtuejAYVGGbD44H/5k4BraLO6tsrq6ipXr07w13/1l0xNTbGyto0AYjGDuG3RaLap1VtU6gW++sQF/uz+t/J3f/e/WFlcIZUCaFJrVDl1ZjnUXRYiET7gMzMzvOtd7+Lxj3+Z6elphBDccusxvvb0V5mYPMf8/DyHDx+lVquQTMZ59CuPMDo6zOBgP0tLS7TaTT76sb/jj//oT7kycYnOTgfw2dqS7ig3nriB5eVlVlfW8X1ZCMxk0hw6dJA//uM/4sD4YR566EHuuOMO3vjGN/LEE08wOjqIEG103efKlQsMDw/zgQ/8Dg888De8853vZGBggJGRMZ566kkymQxf+cpXuO++++jr62N+fo6lpSXK5RKmpfOxj/8dX/vaSX73d3+Pvr5uLl+eBKEzPDwotTZyx/nsZz/L+Pg+bNsOg4LSbUin0/T29lIqlcJMVk3CpVIp5FRLY9cU1Wqd3t5eMhmDP/zDD/Hd3/3d/P7v/z5nz53mN37jN5ieng4x6q6urlAtrNGQbe933HGHHDzGNqVNE7cBmxsVDh4+zvraFdrNCp5o02w3+KdHvsrr7r2Pre019EoTV8Ds/CyVtsn83DSDo7exuVLhuWfOctsrb+XK5BVSmTRGbIj73niEM+c+w9r8NN3dce689yYKm2UuX7rO3PYKJx95mmYjRizVyyv2ZUg4Mer1Jv39XTz+1ZP80R/9V3Td4Od+7udYWFigWq2j+TJ7e/ypx9jc3CSdidNstBkaHOGee+7B0GXGVy5LPD2Tzkm5S13HCxgK7aDYrOs6saAPQBMifF9dLzU+QQuzRrVsV9h0u+Xtyhh1XccI2RhWJEgHRrZtKWBk6hq6rmFqOqahhX0JpmlgaDqaLsXGdCGLgSoHVpmy8MUu4XwNDSIuIgrKEHuKcVHIISzKB41YErZQgXlHoyM870gRUe0v9AMM8GYV3P+vZsyapn0cWbw7rGnagqZp7wH+QNO085qmnQNeB/xycIIXgQeBS8A/AT/77RgZ6sJE7Vqiverq97tpVC1ct4XPjlMB7Ahh7zpBIRkWpqaHLwMN25CDurtbYpVKhnB1YwsNg8GBYV53z+v573/2F3zywU/xq7/6K7zytlvlTO3Y3HTTTbztbW9jfnaOZr3GVx75MtNXJ6UDiq5J/zZDcqhLlTIzMzMUi1usr6+yuipdIfr7e5mZmQJ8ksk4a2srnDt3FtPUqderbG6uk8mkqAbc4Vargeu2WFtb4XWv+y4ee+wxdB0SiVg4M0vxnCWq1eouB245MKWA/eDgIFPTk/znD/wu93336zhz9hvE4jb1RpVEMkY84dDZlccwNWbnrvGXH/pz/vAP/xDTNLl6dUJee9/HcSzm5+cxDINjNxwJO/M6OvLYtsXS8gLPPvssQgi2trZCScRsNotp2CwuLtJuywLc6uqq1OgARkdHGRsbY2NjIwzKsVhMSpnGYuGKaqdFXdIPYzGDxx8/xYc//GEqlQof/ehHOXfuHJ///Oc5fvx4GFhAZonxeDyg+MnmDWVdVa00qVZckokM+8YO0nZ99h0YZ6u4TTqb4XX3vJ79B45y26vuZH5xlb7+QRLpFPFkjMmpCYQQrK2uAzq1agPFgzVjOVzNYWz8GPmOPrYrdWp1n/7RG7jzztdz8tHHOX/hMve9/l4OHz9CLpcL7JcKnD59lgceeIDnnnuOt7/97ZIeZ5qhfka9XufgwcPoumzkGBwcYmBgkFKxQrlcoVarSzEhzcb39VBeU2XHKhNVq5LoWFTBKBqQojriSldGtSYr3DY6rqOFwOhYlwU3V672VDFP7IgBGYaBGVDj0Hw0fbdQkb4HKBVC2r9FM3c1QbwYfLK3vrX3cyr27LWVih6D2qLXLHq91LX6TtTlXiYiRjnx0+9+l5xBHTto34zTdGWvvRcojzUaDfnguNJ5IZ/Pk4gn8bUdnFkIITVYkfoK4/v3y+yrpx/HcYjHJf84lUmjaRr1+o62su/7WE6c9ZXVkKnQqFfwvDaLC3PU61Wq1QqXr1xkezPAJB1CnG5lZUXKkrbaQZsxaJohuxd1i0p5g46ODmZmZhgYGODGG29kcnKSVqDte+zYMRYXFzl9+jSJRIK7XnMfG5vrrKws4fsuTkxyQ48fP87mhhSqOXv2ArVqnVTKDJXINjYKQRecTzowVdU0I1SSkzisbOV+9atfTVdXF//hP/wHfvEXf5FiUYrbqK67paWloGDn8b73vY+lpSXe91u/QyaTCTvAdF3n/vt/gIMHD/Lcc8/x3Kkngv23qNdcDh06whte/2aazSblUpXbbruNpaUlJiYvc8stt+C2/fDYY7EYuVwuHDxqSaigKV3XyXdkZSNNs4ltyW64X/u1/8jXvvY1HnroIf7sz/476XSaffv2sbQyx/z8PO9+97t57WtfGxalFLWp0Wjsgs1aXgHLG2R7vc74/jwTE4/znve+jcHBLJaRozM/jGN10NWTZ7u4ya/9/I/zv/72f2LHDIrVFoeP3sa+sdewslqlr3cYdJ+evizNVol4up/NwgoDAzqmXieTsllaWCeV6ETX4nR1DWEkHE6dPoll65w5d41//NSnuHLlCgA9Xb10d/XyIz/yo5S2i1y/PiedaMoVent7ee7Ms6yvr9PX14PntcPrhNDRNAPTcIKAZCHcahg4lbu8WkEo7WzFwLAsi0QquYubLFkUIqBGSulPPTBgaNS98F5mMrJBxjLlpKppO1x+05SwQatdDrVoDE128RmajmWbZHM5rJgJuo4WOGzryAnW0iPYrtJLj1DkADB3YBMvKHd5/o7MZ6Ve29VOLbzA448dyMX3VXLIDoSCfK8aNN1EGSBhLAnwf7XSazabvPvHf+xfj4hRlG8YPUF1knuxHd938X158m3fDfiFCsqQPn4QadX0BQgPjZ33CxtSZ1iPMCx832d9RfbMxJyEDDxbW1RrUmC8Xq/ieT6ZZAYjaMVseY0QM7VNG7fl0t87gGnLJpnl9U18TzpSZ7MZPM/FcWzi8RhbWwUKBbl0HxsbRdrPe7TbLQ4fvjlU62o2m7TaNQQJTFOKrI+ODfPkE0+FrhG6Lmg0WrTbO7Nyo95C+CXS6WyYObfbbTKZLK4rhX4+/elP8853vpPOzs5Qe0GxFNrtdkDJy1Gt1nj/+9/Pr//6r9Ns1YnFeoKmmDyxWIyzZ0+HGUcul5Pt7NU66dSO6p3E2eS1lk0n8vzGRvdz4MABGo0GW1tbNBqNsOCimhpU5qOCw/b2djBxbrC0tMRv/dZvsbKyQqlU4vWvf33oiXfTLTcwMzMT8mlVQUrxxNVKI8zu8LE1A12zqVags7Ob8f0HWFy6wi03HeWXf+E3mJpa4bu+67VcvPQ8faP7yGTz+Fobv9rk+PHjlIqCbCYPQieRkK4qyVQHTc1gcHiYZKJBu10mFs9w8PBBtlbK5Hu7OPn4M1yaOMtT3/gily6fp1S2adUl5nrzzTezMLfIvffeK6+lKYvftm1DwDdeWV4lkYwHIlg7LBel4hZzkliWg2n66KIVjjOlxaFYO0oJUIlSWZaFJ/xQ0EpeL/mcGYYWrjZFoDfTbhHeOyUp4HuqvXk3OyGajUp+ssBvuXiGbKoJM2zPQxdyorYMQ1LiIpmxJna7hER/3pt8hjS9IJsNHYl0HV8J4Wu7HUfkMYpw9aD2owqk0SxZPU/qs+q7lOb0S9leFoFZoAIyaJ5ctriGcqfduThqgO4sD1poLQPP82Vg9jyE0PCFh8ZulahwH0FwzmazAT+5uWuJIfHKKp4nl2OJRALLNliYv0ajIS+s4o7KQW3SbEqZwWwqSy6dw3Ri5Ds6yGRyDI7KGXNwaITF+Us8+eST3HnnnTiOw1NPPRUWvCzLYm1tDdd1GRgYoLe3l7bb2iVnaVlmIBda4+rVq0GFmLDqbhgifFhgpwiaSCRCZ27QqFTkKiAedzDNHM8/f4aOjhzNZp2RkSG2twtomqBcLhKL2aytrZBIpCmXy3zgAx/gfe97H//5/b+H4zgB39piamoqgAbymJZyFa8xNjaCbSeYmZkin++ku6s3DPiaJo9lYmKCZDJJf38/x44dYn19i7W1tV3wVbTGUCwWQzeOzc1lLly4QLvt0dXVRSaTYXz8QGC/ZbK5tcrBgwcxTZOlpSUmJyc5evRoGHBUVq6w5lTGolFpkUol8Ty5ErvpppuYnbvE5cuX6e/vR9PSPPjggximRmV7QXKB60WWn3iKQ4cPcnWijmV1sL1VJZfLAQ3ZQOMksG1wjASNhs3KyiZzV6/Samo8+sj/4vriNMsbsxSqEwitSb3ucfONJ3jLW97GyMgID3/py9x11108/PCXKRdLjI3tl7ow8UTQzCSZLNvb24GcaxwhJA9X1000zcD3oV5r4rVlM450Rq+Gmia6rlOpVHZ5RgohpMSBEBEGgqK9SSiqWCzSbMms27FTu9kWloVniABrNSNaE3qIw7quC77Aw8dvueiGFmre+L6GJ0SoAmnqImwwUdCFCoQviC2R4KwYz9HEL4qRCyHwlO2UvmOuqmlBhyE7TiVqv1G6ndqfSlB20eqE4DuBMl42gbnSrqHrJqbwSCazVJsBPxANIVwUl1GINp5mYGDgtgW2KXDQMT0P3ffxELSbDVwErZaF0A2EbuChhS9Tg2a7FSxhLTxPD4py4NHGtKDtyv569eBYdoKY06Td8vB8E8tMEHN0KvUiHfkemSkE/GrLcujIyYHR2xVwSFseo4MjpF7/Rnp7e7ly5Qonjt0YEvqfffZZOjs78TyPob5BttYLaIaGaQjyOWnvbhkmQ2ODgTxoi0TcZnt7G8uUbcqu51OrS3PMhYUFbNsBdNpuk1wuGyqvtdttTMsmmcqysbHBlYkpurr72CwUOWI6CAzW1gskkykKWyUM06FUrOA4DtVKnc999gv8xE/8JIZh8JGPfIRKpUI6neXcuQuyAaK/B9u26erNYsdz6LrJ2AFpHHrmwjk2iuskEgniiRhmXKdZK/HIVz6PF3Tp3XvvvewbHwzZAmFw0GTR13dBiD4MA3LZjrB7T9M0hob6WV5eY2pqgtHRUbY2S+TzeTbW1mVwXljlyKEbiDtSCc1tt9E0XfJWfYNy3SaVbKPr29gJm2bV4j0/+ZsM9R8nbnmcfvpxLp77Bo9/9Z9561vfTMo4whcffhQrluHXf/2PmZheJZbrJpGOM3x0mFQMhA+NapPpKxe5ePEizz77bJilquy9VCqF6oM/+PZfYHx8nJHRQUzDZnLyKt949jw/8//8Mo8++s+YRoLevgy2E5cc/kaTickJOjsdPK9IKmETs0HHpdkK8HjLAVHHc5W8ZVDbES5C8zFtA9cVtNstCdzqAh9PitjrAk130Q0jxHkVrbFSqVAoFCgWi6H/YrshDSyMhIkmdHQMLNPECWh4lqlj6KDh4bZblEuyackxLdwAuorF4sFCV0BbIxmTPHbT0tFMNyjua6B5uEFWamAgIkL6mqahCRlYNQ2MSOLsI81bTc/HCBh3rXoDYcYC5yBw/d3B3lOxIKJTXq1LNoxhGLQCSzC1sqs16nKC8mQWriRsX8r2sgjMStQ9Hpe6uq7rSrGSAAsSCHR9T1EvyJxbrRZ24EzieR6ukIUIX/vOOm2+7RFGCgRq9lNFEpA3Vn1G4diqGqtmz7bXoLOzG9f16enpo69vgEqlQi6XY2Vljc7OTtLpdJBlQSIVD65Lgr6+/pAmlsvlqValLsHQ0DCFQoFSeSvUQTh69Chra+sBPrtjra4I8pVKRQbmQPsikUgE6nNGeP2j5+Z5HmhSrc+2Yly7dg3HcTh06BCHDx/k2rVZGo0aui4Ls0oWNR53cGI2CKmvsG/fPmKxGNvbGySTydDbMG7ZoXzk+vo6n/nMZ0KOseyAS0lT3CBLyWby4RK8r6+Pnt78TnaCR29fB339nTiOEYglaQwN95FMmtz2yqO029Bu7yxf1T0VQjC/siE1JUydZqPC/MwkvtvkVa9+DR98/28Sj1kM9nbx3/78Lzlz5jTX5hfo6x/G1UzOnjvP0P5DWPE0/f1dGAZcuXCNy5cuUNhY4+TXnyaXy4XC8pqmsbUl79uRI0d4z3veQz6fp7u7W2avhmB9TbqVpNNprly5wtzcHCdOnAhXdLlsmvX1VWZmpvHaUrY15sTDlYC6p9FnWD6/O/53Sh0u+rOifSmTXAX5qNWL+l29Xg9hMjUmHccMvzdKPYt6F6rjUE1j0cJ9VOxHFRYVWyKaAav9qS26OlYTuaHv8IujmasqUqrVqHrOfc3bFdijlLgQcgmohup6Ra+JOsZdjJQAlze0lx5uXxaBWdMIhL8TITalB3iXruugSZhDXRj5NzsXQ+G9KjB7ngeGvutmwAvFr7/z49x5sKMPC4Dn7a5gCyFA7GiAmKaJCMwnC4UCluUE+zMolSoMDg6Tz+fJZDLk83kcxyGTk953fX0DjI6OUiqVmJ2dJZPJ8PzzUgNkZGQETTOk8aphBsFtg/7+flKpDKurqyTiKaTXmnyourq6WF1fo1yRrdCGYVCplimVi9QbNQQ+vvBwvTa6oaHpBmY40Axivs3k1Stcuz7Na17zGhzH4fTp04HVk0mjWQuJ+PIcZV0gn++hv7+X5557JiyQVCoVnGyOTCYTwkgXLlzg9OnT9Pf3y8w6Hqe7uzvEOFOpWBjU0+k0jUZj17Jbcd6lQE8ukLdshuwO5QBjGNKRJtpEML6vh2oVEjEwdLANH9vSKG9t8lM/8/N8+qFPMTAyxhNPn+L8+ecZ6O/HdBLcc/c9tM004wcO4aFx8eI0p06dYmNlmY2VZVotidVfu3YtnPyazSY//dM/zf79+0kmk1QqlRBWkGwF2QJvmiYnThznkS9/hYGBPtJpqYOt6YJ6vc7a2qqEMWLRNuJol95uDq4aY74v5WRrtVroqBOtt6hnXNd1PFc6zANYFvieQPiEL9tysC2Hpt+UnXdCAgeargeZtoYbSB6YnicHfSS5kU5CGgZBK7YhuwVd3wvHWwgZoCN8SSnTUdxpLcDSAZUkKaV1Tdt5CUHb92l5Hm3Pox25Xh47VDrC/e7g5Xsd7RX8FQ3eIHF/BZMpmFJm7y+9beRlEZhVIGu1WuiagW0b+GKH/C6QalOqEKZoTcopVzIxgpZt4dNqtzFs6wUBee/P38kWDepRPKnR2BGXlxmpGfA2rUjXk4HnCUwjTqsp/0VIB+RUUpqzNhs+mxslYk6aWrVNqylAkzKJqWSe+bkViVUPjCGE4LV33cvtr7qL6elpqc27MMPq6hqZTIZyqU5/37CEBhINOjo6KJVKlMvSM66zs5NXvOIWtra22NzcpFotUypto2kajUaNXC5DuVxG02TVXQhBIhanXq/jBs4mhqGRTid4+umT5HI59u0folgs0mhUaTYE9XoVw7BIJFKk01kA4nHZHq50aaU2Q46N9QKpVCpkENx6y22BnkOW2dlZNjc3+dIXH2ZpaUkWB1ubIZuis7MTy7I4cuSILAxFNEccxyGbzeN5HvF4nLGxMUzTDGRE+8PgrLIrTdMobutks2myGekSMj01gaYJ9o0OMzrSz+/9yV9hGAK31eL7fiJBtbBOsqOTxfkl/uZvP8Zf/M9/4MYTt3DmzBk++b8f5E2vvw/HNJi6epWB0XEymRy/9Eu/xPDwcGB+KoOnpKl5ZDK5cOKYmLzAk08+yVve8lb6+/sZGpLqgrVaDdPSGRsb45OffJCJycvEEw65jGwGSSQSYXBIp7NBZuiFmbAqyEV/Vo0puq6H7emaJg1lZQHRekGAFEKEgl62bYd2UumUs2ti9n0/FM1S11yNWxXM1IrH1wjNS6Pa40Jjd5CLTD7falOBFHayZhVg1fWIUui8SLdgdMyrz6hjUElZtDCtArFioqhMWZ3bv7rALCB0PVY32XNFeLEI6DnhxQmWRwayz34Xl9H35MwcyW7D7/kXZsrRv48G9ij3Ubk0gGR07PiCgRBe0KWk4wYuI27bx9AtiWW5Lp4rpL27Bwgd4Ws0G23q9RKmKf3ShC+ZFgqfTKVSHBg/xMEDh7k6dYXZ2VkAZmZmqFRqZDIZkskUhmHSarV3CdQor7euri6q1SorKyuh2I/iB6tZv9lshjoVSrKx2WyyWVjHcRxW15bp6+sjm0tjVnXaJYm7uW6L7e0Cvg9dnd2USiXm5+eD69XCsaXrt+YL4skEriupW2ZLDuKt4jZDw0McOXaUO197l9RjaDZZWJhkfn6e5eXlkLP92c9+Psyos9ks+Xw+sGW6TldXF8lkkoWFxfCcr16dity7naJWMtaH7/uk0hIvffDBTzBzbRrweeub38TgUD/7948xPj6OrussLcwyfW2WwlaJv/3Ix4il0nzP96zT0dGB7/tcvHiRt735TRw5fJCbbnsNPT2yHqHU8tRyOpFIhMXL5eVlZmZmOPXc17jh2DFuu/UVkhqXThOLxTBNGTwTsTi1aplsWhbbHFsGr1QyHQnM6eD+7ZinSs1gyUpR484wduQxVWs7EB6jpu00mSjeuKZpoSxoPB6n1WoRj8dDtbpYLBauRqIqbOpnFdhsx8F2HHQ1vh0bU9u5N1E+tdAIPxcN0Go8Rn9Wme7e30X3GQ280RgR0udeJKGLflZNHgpKjWbK6nxDmO2l1/5eHoFZg0ALIYZpSP6jyjhrtRpOzMF1W2G3Vzwex7EdTE0KXJvBTY7H4xieS9t1iScSu8RFwu/SdtShojP23kw4OkvufU9l7rKrxw4zeF2XDQWqGi6EFui0xpCargamKf37hJDdiLJqrhOLJUgkUkGBQH5WCINUKrdrkpG4cYxsNhZQ3iT2NzS4jwPjR0mlUiSTSVqtBvV6nYWFBZLJJIVCgbm5OUqlEoODg6xtytbo8fFxSqUSvb29TE5Ohp12qpqutCrUhJlMJtnYXEPTNTpznWxtbWLbJltbG2E25cQsTNPG92BtfYVEIsXFixdpt8+SyeSCdmEZ/Gv1KslYPJQfNU2TfD6PpmlkMhm2traoVCq7KvwHx09w4w2vIhaLhc0hKhC6rhv+TbVapVKpUiwWmZ6eplqtsr29zcXzU+H9jAdSrgo2O3Fc4verq6touqCvf5DZuQUsy+LsxQkuTl1jZGYB46tP8/zzz7O1vs4rX307J268iZtvu51CocCP/uiP8ubvfSNDfb0YwLt/5IcpFArUW5rsutM0BvqH2NraIpfLhW4ttVqN5aVV/uEfPkZnZyff9V2v47ZXvJLr16/z+c9/kTvuuIN6XYpMmZbB9MwkzVaVjs4clmXgtuT4UBx01SUpx4Aejgd53k7YYanaoNVzpiyiVL1EvaeCalQAvtFohYG6o0Ni0Ym0rAnopolmGhi2FQYnJxYjFqyYfN+n0W4Rt+Nh1hm+ArlMzZAu623PJZWQ6ozCC2zgNCkZqibYvXiyLwS6Ye1e6QoNNAM0Q6raoUtrq5bMgF3fC59DhYGrY4oyLtQrmUiGk6BiQ8Xj8fA4otS572R7WQRmtN1dN7Azc0WLF9HZNsxWIbQQ3/v3/yd4stpebMaMLsc8f0ffQ/ha4NwQ7S6SS2sZxC10XWCa7YCsrvicLoahpBPtoG3VwPfk0k4LXvLrZcVYCIHblnRCXRdSwtOHer0J6EFzQJwTJ6T4eVdXifFxKVr/4IOfoNYssW/fPp5//nmefPJJ7rnnHgYDd3I1QTWbUrO3v7+frU3pS7iysiKLU8JlfX0d25auEUKApgtMXcdDD6GMdKqDUmmbRsMlmUiFwdsL7CT6+wYk0b9Wl9dQ86nU6tSbMvuSxSRH0t/QEJqHY8VpNNrhKx6PS+eaCG6cyeTJ57tCIf1X3Hp7eE+jRc3o8lYWzhwqlQrXr19ndm6OcsBRb7SaoBtsbBQ4cOgIlmUxPLoPU7d49plvMDgwwl/8+Yf4+te/zqc++RCvvfMuxkb389hXHg2cmjUGBgao1eRKptlsYllS0D8elzDRyZMnw+eddTUAACAASURBVOajw4cPc/jAOJoQPPbP/4zfdqmVK/i+TyIWo9lsUCxsEbctbEMH4YcMlmjSsSP2pe8S/lI6xyqhUD/DTsOUCsJ7t2j3XnRTmWI0E40mPHvx7vBfXcPXdtqQ/RdZmcpTCAZCZNsb8KK4sLzHLy7xGe3k22kk8VGi+NFJIqr5oaCJsJhp7gge7T3eXewQ7YUaz99qe1kEZj1yIfYuOeTSYGfWUUuF8MIFZHP1+ejfRv//neBS0b+P3tQo+K/eUxhhu+WFlVplahrVbVXLHNgR11bnpB7a6CsKk0SX3DJjNsPjUeemayYIDc+VWgVYOqZlsLm5RTwumxxyuRyDg4Pcffc9PPuNr3H27DnZYXjX3dx8860RuCIRBovFxUVUt1YikaCjoyvs/+/u7qZSKSGEj2Anm5CFUBWA29RcF4QdZKbNoLtMTq6Dg4Ph/ahUpL+iEoFRPFYFq6gB4Ht6+J5aSiqnbIVN7jBMPCzLRNet8HopjrMq3KhrbFkW8Zj8niNHjrBdLJLN57h+fY75pUW+93u/l1KpxNTMDJZlcejQIc58/TmSmQyHDx9lfP9+9o2N8Tv/6bf46Z98L29+05t49JGHcdse6FIBTwjpgt7V1UUsFguz+NnZWdbX14nFYtxzzz2k02kMAx544AFmZmb4kR9+VzgeLMukUCizurZMIpHAMPVdesfRxEElBuoequel0ajtHoO6HmZ+6hlVeKrKuNXL98H3CVd36iW/SwddQg7o2q6X0EBo4Ac0VF/4oO8ELl8DLRhXnsQA8ZD6F7vGwU7ZLzgflZTtZMzBKEYS44R8RoNVrNy1FiRQBiApdVEGhYIio++pAK6uFcjiZHQ8q2u5N+Z8p9vLIjBHDz4MaBhhtVbXtfBn05QDyNSlhqyh6/htOeCidJUouB9dpsG3DszfrMin7HMU37S0vS1bsk0Tty0/J7uARAC52FiWj6a1MA0LQzdpt5vBd0htD8nLBqnzIZXPNE1q3IKOG2QtewOzmulVc4dhGAjfxDBNHMcKA1q91iKTycmlKhrlcpXt7RJHjx7l2PGju3DjZDJJsVhE07Qw8KbTaSqVCisrK8xdn5VC7bEUpfI2tVqVarWM7Zh4XltODIDvu/I4YjbtlottW1SrDfbv20+t2gy5r5ZlUS6XqVQq9PT0cOLECWzbplarMTMzQ6lUYnNzM2R6qIYUx3FIJ9O76FhqGakGUohHChGsUuRAUsWnaGazU8SVmhyZVAo0Pwzc7/nxH+OHfuiH+Ku/+kte9933cezYMVpuk2xGLsd/+l0/xec+9zk2VzboSCZptQQPPfgQH/v7f+DQ4aMYepwzZy9x//1v4fr1FWzboVqts7a2wfnz5zl16lSoLX3TTbcQj8c5fvwI8/OrfPKTn2B8fJx7772X58+ep7+/n/6BXtbW1jh3/ixbW5tksulA6MrB9/UweKtM2PcJA7S6NgoOVO3CatyppbvCThX+vHfMRLPAaCLxgmQhMkGo50o9t9Fmi+jY9LUXGYfS2zocxx6ywUQPgrrQNDRdR6ggryh0QmBoAZYtBHgePqAZBpbjyBHo77RQRyGH6EohWtiLGlw4joPfbOyKMapesfeaqQTupW4vi8C8d3kCe+T6vGgGvCPzFx1ksEOnU8Erynt8sWLBN9v2BudokFaGnpWK1NLw2an8SuxYBLhxcEyuj/CVLfsL8e5oZq/+DTvedPMFx6wKGoprrAaUzGA8mg3QMNANME2barVGsyk7zwxTC2ysTHRTw3Hi4WBqNtvk853h8n57e5utLWlj1NnZTVdHN54nu7we/co/4Tgxenp6WF6ZRwgTCLqnfA3T0Wm1ZGY/PDzM1atT1Go1BNqebEKnXC6zVSxhx+KMjo5KMf20tH5aXV3FR8NHI5FKk0wmicfj7BsdDvwGnTAgaNpOa3C5XA4HvmXFAz2IBq2WvHbKnkmdq4JtdF2nHPwulZbUzc3NLbK5NOPj4zzy8Jfo6shhOQ7VcoViaZuerm468x10pLPUKk2uXLnCTTfeyGtfewetls+PvOtdbG1tU2/I4Dc1NUUqleLy5cs0Gg0GBgbQdV3ysXt6OHBgH1//+mkefvhhrk1eBF/Qle9moK+f4aFhBB7rayuUiyVitoPwXHRNYFsWbZfdXWyeF0BjBoaxW2/E91+4SlXPd3SFsjPZ7XCH944L9X1RUaTovtU1Vp9XiY56DtqeLCQa2k6AV2M7WgdyhY/hCTB260DvhQx2wRmCXd+/d/LeO+6jkIua+HdYVzvnpD4b/V20WBjdp/pXe+lIxssjMKuHBQhvsAgeHNd1MYjixrtnNt/3Q/eCvWIi3ywz/k5x5+jnVWODmvWboZKWFnjj+SHjwTAMbMsJCweGuSOeohoEhBCBapyL70uR8FZLBmTbibTERm56VOFLBWdda+N5OlLH38XExAjuruNIHm+7KguWyWSSSlk2BnR1dZFKZlhfX8ex45SKFVlQc2TbuecKHDtOvVbDshz6+jKkkhm23YJc+poOvl9HwY3q/GIxm3q9iS9cOjs7qdVqxGKJcGksi6JyOVgtV7h06RKbm5IGd+LEibCIOTMzQ7VaDXUuisUirUAsP51Oh9Sk6ACIx3ew1mq1ElltmZiWRiodQ4g2vnAxdAPT0rFsySBo1lzm5+fxPI9sPkNPTw/JVJy7X/ta/uS/ST+I9773J/E8j85cnqSR5cd+9F2k02kunD+HEIKJiQkpUDU1zcjICK+6/Q4AVlZW2NjYoFQqhQXXW2+9NVTcGx4eJhaDL37xi/i+z7vf/W4++MEP8opbX0k+n5f8d1vqhIC0BqtUisFSW+L8Udx3b1YbDdqqkSSqmKZWmYrbHYXbTNMIs0VFFVM/q0CnAu5e/HZvkI1CgqZpBt2XGiJwCmlbHpqn7fq7cFLQdQxeHMeN/l9tarX9wvdfvKb1TQP8nmsaPb8ohLEXd99V6/Jfetx5mQRmHV2zUJbhrtsIL6bv+2hteWEMQ8PzIKYb2LqOrMhqtFw5S7tCigD5nkvMMrHRXjDDhdnonhulLp4u3KBx2wfhIYL+eNd1EZqO6wtqjSZNz5dZiOvh+gLXbdP2ZEt2qVJEMwBdhNlHPB6n3dhZvpVKZYBQAL7RaJBIJEgmPXxfBvWYt1t0XD38SqZRecDJwVGT9lBGgrbroek2mm/uslK3TAfLdKRHohYDy6Bdd/FbdWzdoVqqYhs2jao0X9UFuM1AeEW0qVVrlEsed90p2QHVapXTp77B8ePHOXv2LMmUlNF0/TaVcoW4k+TCmfP09w9wYP9+FhaW0CyHZDJOuy0dYDo7uunt7qDZbFLcXOUfP/k8Exef57bbbuOGw4c4cmAsMBxdwIrFsAyLYqnGxmaRUqnE8vIysViMoaEhent7GRoaYv/+/aFaXF+vIf0Wg6Wpsq5SimrKeEFN5KlcCjMmMfzNzU0uXLrIw48sYpomv/xLv0Y2m+XM6Qshf3pq6hshxJXP5xkYGMC2La7OXiPbmeP73/H9nHzqcT7/hc9w4sRxDh05yMMPP8wP/uAP8ulPf5pbb7uFhYUFFpcXKFWK/MzP/Axnzpzm7//+H/jHzz7CX/zVAywtLVGqNenIZWi1GlTKNTxP4NU9bD2O23apt1ya/g401XaJBA0fITxc9/+n7k2DLDuqc9EvM/d05nOqq6urB/Wg7tYAGpCQTEgIgS4Oj9dgXgBy2IHA4YtfOEwYjGS4tuNd2wQ4CBx+BH7csIMwwbs3cODHYGPMY5AB2ZaEkEACDY3UQj0P1UNVV506054y8/3IvXLn3l1CLV/7hdgRJ6rq1Bn2zp25cq1vfetbZWTBhA+ZSaS5ggaH4AKTmVGc00yACR+aCbM5awbBSg60ayh5IUcrhECepwAU0jiDLwLAN0UVTHNoCcxmMaKgAT/0oLk5vyRJoAtuvCw8dA8MIoqQSgmZ55aiSTAMU0YelDEAWoEzbpTmeJl7ojUthala1dDQRQWr65UT1MOYMJo33MBfCgyqMKRKFtCW0sYG5EY4DVyAaV0Yfw2lKAIrhbekLKMMt8rwhY6XhGEu+4Fd3LnWDTnqsAKw8c7nwgMbhTn/FkDehRDsadewaHe3dMM2omNBmeeoao2wTZc073IgkySpXAN5NlQKS9q5lEGng86TkkH1nd/s3rzCjpBSgnE39JKVa3I1dqmhgRACP/MzP4NTp07h8ssvx3iyjtXVVWzaPFdwX2fIshSj0TqCIMC2bduwPp7aBQ0J5DLFdGpC2X7fVOkdOXLENnn9jd/4DWzbtg1JkmB1dRVJkqDXXUCv18OWLVswGAywurpqjNupU3j66adx1VVX2ZZSzahRFEhQaC9sZEP4tNYa0+nUQhu0kZEEaRRFOHjwIB5//HF4nofPf/7zOHz4MN7//vcjCIwS33A4xL59+yy/9+jRo1hYWMB9992Hm266CbfddhsWFubx6KOP4s4778SpU6fwmc98Bn/+58YLbzabeOUrX4mDBw9i167d+PznP4/Ltu4GYwzT6RTNZsNi+pPpyMJ6SZJAQzqQVlXP3IUCZJEkT9MUaV6WENN8ofJigiMIL/U8zwiUYGPVNpoXBH3QWLufD6DgYHuVdTSZTKwEKTkx9LllWyzzWjLOBSvOevP1te8erpGuJ9c3shlERKh7ya4dciNy12bRayiKcD1+d7wu5XhpGGZUdUzrhs7Fqer18cDFIPtG2LL7+/+KYXYxbLckm24KZXDpXNzwTRRqWjTxyft1MXEXsyOqD918N+lH3p7neRYSqI+dy7124R+tNTi8giJWfrYrnVjq7ZYlsS6liMLgm2++GUoprK+vW66r5/ECqhEFnDDBeLyOhYVFZFJiPI7BYKQjkyRB0PArCUfShP7hD3+Ir3zlK7jxxhtxyy23WCjg1Mlly2nfvHkzut0utm3bhtOnT+P06dO49957EUUR5ufn8Z9edwdmsxl27dqFKIqwvLxiRfEB2AQoJcyY4Lhw4QJarRbm5uas+P+OHTvwzDPP4LLLLsPHPvYxzGZTfPazn8Xv/u7dNnnq+77lBm/duhWHDx/G2972Nlx++WX43vcex+nTp7Fp0yYcPXoUX/ziF3Hy5En81E/9FO666y4AwMc+9jH84i/+Ih5++GFMJhPcfPMrcfjwYSwubkHUCDC8sGK7lAeBB60l4mlaQA3eRXPInRM0n4CinDitCuVTFEFcZ1pn5CRkRXMEF/qguUiYMq1hoQ1Ul2UMJv9g1ka73YTW0upjADAaKzqzmwBtDFQM5Yr21522uvGs24P66+sGtL7JmP9VnUHXbpChdceBbBGtcbITbpRL30HR2aUcLxHDzC7ajVyeJA2Iq09Bu7CbUaVdOssymxiy3/Dv4DEHQYBOp4P5+XmsFawMEhanyUaMCJr0lPWWUiLLU+slU1hD/3czv+XCqJYL04OKQGhM4jiueNR1772e7FBKIcvJyynxQVF4wq7nWC/BVUphOo1t04Jvf/vbmJubw0033YSvfu3/xd69e7E6PI8oCiGEMdBRw8NTB57EnskEW7ZtR6PRwGg0QctvATCGYvv27YjjGEmSYNeuXbjsMlNS/uijj+Jf//Vf0Wq1cP311+O6667Dm/63X7JMDbq+VqtVnJvphkJjuHzWFJt8+ctftprM1157rdWZ3rp1qzUIaZoiTyVe9rKXWf0IwmIZY7j++utx4cIFvPvd70aapnjTm96EdruL2WyG5eVldDod3Hzzy/Brv/abOHHiBN7xjnfgD/7gD3D//ffj4x//OP70Tz+IOI7x5S9/GR/5yIdwxx134O6778axY8dw66234p//+T68+c1vwWw2w1VXXYVdu3fgjtffgVffcgs+/OEPI5cJvvWtf4LvAXFiEp3j4dDCbcPJGFqbRhFEGQyDyImchJ0/XhBhNpvhwoULNlrwfdORZvfu3ZhOp5aOKIRAp9WwDoHrjLgNW4nZ4oct63DQmiaK53Q6rYgWKaUgeOkc0NylAi4Alu5p4QBWTbi5dqNusEu8uxRMygpMm9ap+1qtyjLruu2gqITmhcuDJ0fNpV8Srk/j9WL6/r00DHONIuN6pvS8a/yo24INswC78ydJYhdTHVqowxwv9iCaUafTgVLKJqTyPMd4PLYL3z1n13v1ihjMDeXc3d8NKxljAKvScOiaCFag97verGtAAVQgDno9UCaJNoJ+6KdryAVYUQgEMC4guUAgPPBWC8lshhtvvBGPf/9RxJMpgtCDH5ST2LyH4+SpE2i0W+i0B2BMA6yo2tIBtGYIAtMTziyYFJ4XYNeuPUjTFMeOHcN3v/sonnjiKdx007PYtWuXhTIMtS2zi2fnzsss9MHYmvV4iQFxuOAhkxZxo9HA9u1GZrQRNHHy5EnMZjMMBgOL4UdRZKl9v/VbvwWtddGJW+HgwYP44Ac/iFtvvRVZ9g7cf//9GI1G+OQnP4mf+7mfwxve8Aa8+c3/GWfPLuEjH/kIlpeXrWd4+vRpnD17Fv1+H5s2GXH/KIpwyy23YHV1Ff/7O9+Jv/7rv8aXvvRFXL77MpPwWx8izWJMpxPkWWxhJzI47v2dzWYOD9eslfF4DIUp1tbWcObMGSRJAqVM5SyxjQhSIGx+OBxaJTl3XpGyXBiGNhE96BsBIkgFmWbIlGG8zPX6UIraRynkUiJPUuRI7PxzOcHT6fQieM9AGX7lOp/Pm6af5NhtbLDLvI/WGlzwCgzhetZu9EjvdQuy6Brc1mf0k6KaS7Y1l/zK/+DDDTPc3YcO2qWyLEO/17UDSvxi2s0nkwlms5nlttaNVd2bvNSD8DNazOQpkzdAxrrVatleba7eRJqmyJWuyA26iQqCJKiDCGPMlIoWRtj13pIksV2RaeyCILAbl8sldX/Sa5VSRdUgg5RmgZkJz5yNQdvrTdMUoW/OU0ppF+hsNoNUJkpoNpvYuXOn8eLSC1hfN96WzDUuXFjB/OZFBEGAU6dO4soru+gPuhiNp4ZbLMVFPFHSeCCs/frrrzeYcbOJgwefxjPP/NAaHMYY9u7di8997nP4l3/5F2zZsgUA0Ol08JpbXw9qPvCFL3wBBw8exL333lsYbYbz589DSonjx49jMpng8NEjuOOOO7Bjxw4cOnQId911l40ivva1r2E0GuGee+6xkMInP/kpvP71r0eapvj0pz+Nu+++GwcOHDDqb4xZ/ZLHHz+Iz33ucwjDEF/4whfwO7/zO9izZw8YY/jOd76Dt771rRgMBvjmN7+JT33qU0ZRb26AP/qj/wPXXPMy/N//41N41fvvxgMP/jPmNw1g4L+8KBQhhoSqaDSYuSmcTd/MpeFwiFwBFy5csOX3NJYE3xBWSnNcFCJitLboPUbYKrfeYxiGaDRDuy7IYDPGMJ2N7Xy0kWOeQPAyMib4hB7EgCLM3+h8ZHYuu/Cna5DpKBkn1X6FbhK9NL6wUAZ9vhupukwo+lyyMWSPhBBotVp2Prt4trsJvKC9ueRX/gceQohK+3PCqgizi6IIo9HIQgN0o+jGucYoiiKjvuVgr+7xQjAGDaAbzrg4klIKzWYTSin73eSt0LW4oYxrcPM0sxN1MBhUMKsoiirettYawgts/T15LjQurZaBAUi/otfr2TGh4gI3onDDrPX1dQReVEm0uBWWZtxKjNp4MPIiz4RzDsYNpHDgwAHs27cP3/zmN7F9z2asrq5CCIHdu3fjueeeK9T/JFodoyk9NzeHIMjR6XQgY1XoThsda4JdKEIRQmBpaQlJkmBxcRE33ngj0jTFhQsX0O/37Tm+7W1vw+LiIr7zne/gxIkTeNe73oU3/ue3mO4hRbKPdDOOHTuGM2fO4Prrr8fWrVvxgQ98AN/+9rcRNRv4yle+gr/4i7/AV77yFSwsLNh59bd/+7f4lV/5Fbz5zW/GV7/6VTz55JO288wVV1yByWSCV77ylRiNRnjmmWewdetWnDhxAnv37sVwOMTi4iKm0ymeeMLQ6sjbPHr0KDjnuOaaa/DFL/49du7caRk3hw8fxuOPP461tTUsLRmxqPXhKlihtmZ4x74dMyqi2SjyMZ15ykjLLQABYI0Mvc8Nx8MosMaWNmf6XDJA1LFcStP5hz6XvjMMQ8xmM/R6PeO1K6p4LQtc3MSZxaxFSdWL4xiNZtuuRdKlcNXryIYopaBZNddUzw9V8erquJFjQpEDbXoUHbvXl+d55TX0oM+qR64vdLwkDDNjrFIuSsaqHgKQoXFDCHdykaGrD4z7Pe7PF3vQBtJutw2dLYoq3oLJ+nvWW6YHGcpm1Cg91gKuoAlEYuJuZloX2rRumEcThTx2mgjPd9C5uaFVq9WClsx6JYBZXMIrNZsJ96cx5VoBYADjELx8cC5sFWar0cSg13cSOyle99pXod3u4NsPfRedTgdeIc+qJIrWUKvot/rFOIXFxmOu2zQD0Oh0umCMYzab4fjxE1hYWMCuXXvQbLZx5swZQ1FcH2MwmMPrXvef8NhjP4DnBfjXf30AC5t2YDab4ad/+qetNGW/38fDDz+Mv/zLv0Sv18OnPvUpPPjgg5ibm4PUCmfPnsX73/9+JEmCO++8E1//+textLSEBx54AK997Wvxile8Ap/4xCewc+dOnDt3Djt37rQ495kzZ6wzsba2hr1792JlZQUf+MAH8JnP/A3+8A//EM899xyWl5exY8cOKKUwPz+PEydOYP/+/QAYtm7ditFohHNLpzGbJRZjZxB4+umD2LN7B5IkRpLEBSQikaY5eBDae07zbDKeVtYHzadpnFqv2JVKJYPqPlxIwF1vjDGLK7vl4EzDPqDLwgrBODgYoHTReJWDez4YL8uaaa4KYdgzG63dOuzmPl9/SEWJSl2JKMkwu1F5nksIhyFF1+PCRC50CJSQETkRVpLYcYromn7i6HKccRu+u4YZKCkzlHSgcMbFmKz3VgwAeZ9+bZD/Vw4aaArbaTNxkw55nqPb7Vo4goxyQC11RImHk4GlG066BK5eARe+fS8tItegA3CYEF7lQYuIympL78SMdZ6WGx9QhpH0OxlmSmZyVYaMkYzsmADaLt5+v4/9+/cjFxnmBgt48MEH0e8PcNllu/CmxZ04fWoJF4brSJMc584tY/PCIjrtHmReLZahhd/v923OgBKvYRji8cefwEMPfQetVgtveMMbbBJ2ZWUFt976anz84/8d/f4A4/HEGkijRz3CcDjElVdeidtvvx1xHOORRx7BW9/6Vhw69EOMRikOHz2C9773vXjqqafwJ3/yJ9i8eTNe8YpX4DOf+Qz+6Z/+CU8//TR+9md/Ftu2bcMTTzyB++67D3feeSeSJMHZs2dx9OhRjEaGo95oNPB3f/d3+NCHPoj/8l/eicFggDvuuANf+tKX8OCDD+IXfuEXsG/fPhw9ehQHDx7EL/3SL6HT6eDOO+/EYDDAj545iCAIcM011+Gd73wntmyew9LSEoZrywAYkiTHloXtiBODxcITthM8HYP+nL3/plmv4b8rbeYcdScHTFSwdetWbN682W7ixNLIC66ya6jIS6cqTOoT2GxGaDTCcn1zml/m9yxLihxCIazESgfL9S4p8UgRKkEIQVhen7u2XbuxERPDzV25nrKLR9fhB7pml4FBHdZdh4jWSn39/VvtzkvCMJu80gbFHg4HsT6gNCncv12caaMB+fcw0hudQ32HdY2Lm6WlG0kLga7L/T953EC1JHuja65PZvdR93rqWLs7+VwPpByfcmIyxkzRDSvFwktPvsrR7HQ6OHbmKBqNJubmNpmEHvfRiDzs3n05gjPn4PshptMYw+EQl122Ex6YhadcqdbRaITBwDQSoKRTlmXYvetyzGYzLC0t4dsPfge7d+9Gp9PB5vkt2LZ1B7qdPuYGRmzpnnvuwblz5/CmN70Jd911F6666iocPXoUW7Zswb59+/A3f/M32LlzJ+6//xEkSYIrrzbKcaurq1hfX8e2bduwY8cO9Ho9NBoNLC8vI45jXHXVVXjkkUcKKuAYnufZvnfr6+t2037ggQewefMCbrjhBjz88MPYs2cPmk2TYFxdXcUVV1yB0WiE++67D9dccw1uvfVWfPzjH8e5c2fx6lfdhrvvvhunl05ibW0dc/0u9u+/EseOCqRpjDBoIApKnB0+s1GX9XBZCVUEQWTHdn1s4L5er2cdBADo9/tW5Il0awAgE8xKpLqsI+o8Q/O23W4j9AM7hwFUID2XhkfP+YGozDVyJrIss44NRYf19Ubz1sWVf1xyn8aFGsLmeZkkJz0R10mhz3ajBJdR5earyCC7uQ8Xrnwxua2XhGFmcKuUSizXfQ4oDVkcS4vnuMC6y+Rwd8F/D4/Z/dw6fuvu0kqpi4wk3aj6+bjetgtr2JsqRGVMXEyPJoEdww02CNrp6dwq3+9MIKD0mN3xtqEpY2DSsDI0Z8i5gBIeIBWoc7cAg8pzNMIQKAxtt9uHJwK0210sr1zAYLAJ8/MKYdjCeDTBaDJGlkn0egMoOYInTIk33ctmo20bJjQbbVNYM42RJgYvvvrql+MHP/gBVleHeNWrXlVEKg2EYcMaqJtuvBl79uzBk08+iePHj2P37t3o9Xro9XpI0xSLi4s4dOgQdu/ejeFwCCmlLf4hfHg8Htso6cSJE9aL830fZ86cwWw2Q7vdtvhoHBttEmpAMDc3hx/96Ee45ZZXQSmFwWCAkydPIkkS3Hzzzbj//vvx8MMP4yMf+QiGwyHe9773YXV1Fa+77Q786Ec/wvymBdPRXATYsmURx48dge8bKVQOBdttmuUVb82U6pdGwrBeCixXoWgkoCqKiGSUXcF3xhgE0+h0OlafmZLRFB0CsCF86PkIvTJ/wbVxRlpRA6LoaA3pqLQVVqjuTACorB/atF3stg5nuAdjDFpdXPFLRtZErSWmzZiA8C8uQKmvL4rECeOn/9PYuxAGrSl6XOrx0jDMxQ2qU74ouUZhs4ffmQAAIABJREFUPLESwsCvhBYuxgtUw/KLvuvfaKDdsMSlwNENd3Er4OKqQHPjylYz7u5JE7ru8ZLoT93jdScnbQTu2LlGnOQLCQun96D4eqWcqku4xPqy/l9rXRGacs8ziiLLqaZWSb3eAOvr67h8zz6Mx1NEUQOdTg/D4Qjdbh8MHnbv2gvNgKNHjpvwtBgDOscgCCz+SYpnpmS9hShq2gTUjTfeCAD43ve+Z43hiRMnrNb0f/+/Po5Tp07hDW94A86ePWubzuZ5jiuvvNJ2qO52u3jmmWfwiq2L1oA/+uijuO2229Dv93HzzTfjq1/9Kh566CHEcYxbbrkFf/VXf4Wvf/3r+NVf/VWkaYodO3YgyzIcP34cCwsLOHHiBN7znvfgj//4j3HvvffiiSd+gOPHj2NtbQ1f//rXAQAf/OAHcdttt+HkyZN4+umnMRwO8f3vfx+7du3CmTPn4HkebrjhRpw8eQJra+t42dXX4AePPYbpLEMUNQGZIwo51kdrCKOwSNyWHiR1I3GLHoQwXV5ms5lNutJGQ4UydD/shs1hu9+4jAQ3nKeWVtAKYAqq0CrXkAATEB4r1AglRGbWAxcw+AaqhkxKWWE10Rwlb3cjnLme9AQAn5MXrK2jInipRhiGDfudea4QNUP7/roTRQfBjy6U6dLlXAfHdcCezyZtdLw0DDNYpbDClR7M89xOIJoQrTCCYAKZJB0LCS4EhGcGPJUS0zTFzAHbnw/ycKllSikwCDAIyNwkqBiMYH0SZxDch1YMWjHMpkmxQxJ7wVQ7aZmDQwN5BnBmeJE5K8JLE/rLLIHMTAacaYl4mhiWheIIPA7BNBpRgCSTYGDQWiHPEuRZCpnnkHkKJU1W2GivMeQyRRB6EF7pMdPoSqnAuQ9AlJCQyqEKqhtjrKiA8wqs3+jdaq2RZ7Iw/gxA4V2pBJJLKJFjFI8hIg9SMSS5hueF6La3YDJSWB8m0DiH/fv3YzRK0WiZHoZSKYwmQ/T7A2ya7yGfScRxCt83xpc2rlarUySBA+vpKaWRSCNqzwMfF9aHiKIInUEf0yTB+nSCpfPnIMIAZ5bPYzydYDKbohnPIHzPdmNR0AgbEabxDFGzgdFkDOF7GK6uIU8zDHp9JLMYV195Fc6cXkK72UIyi3FhZQUr55cNHrtlEY899hhmkzFa8/O4+sorcO+99+Lg0z/EDddfh/17L8funZfhd9712/j0pz+Nw0eP48/+7M9w6sQJzM/P48YbX4Gjh4/g/PJZrA+H6Hc7yJMpbrjmalx++eUYbNqMVms3VtfOYOXCEnbt2oXRbB2SA17UwGw2geeHmMYxELSQZzE408hzMzc94Vv2hDGyRpY1igJkqQbXHF4h15pnOYIogM41vMADZJGU9wzjQ2gBZKZb0GwygweNhu9BaAWhC63xPAWEgvJCSAbwwEccxwjCAFGrhTjPwAUHGBC2zOYqATBeVi5KJW1H9CRNEDQbyKHBAx+ZNnNdQAKFfrKEhIYGEwyKqYpTZuYvg9aiaDBsKKiacYAL27Xa2BXA8wOjjuh5lWiS7AM5N75XVEfmJdEAuLipRx2C/ImjyzFWxWtocEkTgn7SThV5BvdKZW7fF4RlRtpVuHqxh5skcH+nSrfV1VUMh0PT3TkMIVVii17cKjmIsr8Z4VJMlTeLjKd73fR95IGyotiCEh8ul5uog2XCo6QB5cLdbEgDupwkptjlx0uO0nP0oGSlq3FtDLbxGlgRCnLOLe547tw5HD16FDfccIPpQhIGyDKJsEhKSmkEdxa2Gt4xjTGF1a7XUWk6UMwX4ouvrZlGst1uF+PxGIuLizhz5gyiKMIDDzyAOI6xsLAAStAQjZIq3xqNBs6fP2/Lwa+44gp7r9M0xfnz57Ft2zbkeY5+v48dO3aAc47bbrsNR44cwa//+q/jQx/6EN797nfbVk3f+ta3sH//frTbbdxyyy147Wtfi0liIIMdO3ZAa41vfOMbiIIQW7dtwcLCAtbXVtFut7F961Z4noe1tbWi1Pyk5XjTGhgOh/B9gZWVFTvnfaERhrJgB0TwvKDKlmCkE2w2ZArDac0RdEEURfJUjTEy3XXs3FDMKtEJUcInngjAii48xtsUIHF9zzOi9MajNPQ0AEjzHCggGc8zWK9xIHKUgvYcnJPBpIpY89llJyBe+1vD8y7uPmTfj7KCEIVzSLbI9b7rnrALT0BX4b/yOy7mLrtVhi90vCQMM1iZia0n79zwnC7MhlJ5VjF0dXz1xXIHy9PZWHmOFsB4PLYJHrDcFp0opewG4jk3kdVKzgmWcbnQtICeL+RxNwkyzm5YCV5qDAiRVJKDFNqa7g0l9FJPRrj4OZ0rfT5DtaKQPo8MNbSGKDaESZKi3+/bbti9TteMqSIhIdPgADCh9traGubm5tBqtQrq27rliRJMVUn2QGM2nSLPMiwsLGBuMDBNbrXRJb7u2mvxhc9+FtuKTtSMGe42hexzc3M4fvw49u3bhziOMT8/j0ajgbNnz8IXHtrtNs6fP29V6SiZdvDgQXS7XfzjP/4jfu3Xfg3XXHMN3vjGN9rxWF5expve9Cbs2bMHp0+fhpTSGmoqgGo0GpiOx/aaty1uhYa0m2wUReh2TQHVYNNmnDhxAuvra+j3+9ZZaTabOHfuHIRgtmovyzLAK8vT3UKTjeZR2fWjGmE9n1FKZW58U63BPAGuOVjuA8II1OdaI5U5hJIQstoMmT6LxtGl87kPFzt2z5Ww+0tdz1W4Um9oI4QQ1qia6ycs+2LdZVqX9c9mjIFVJIkv1vCg/7nw4qUcL2iYGWOXAfifABZhkMlPaK0/xhibA/D/ANgN4CiAt2qtV5n59o8B+AUAUwDv0Fo/9mO/A7ho8RXfveEFbkR9cb1O1yN9sYe727l4lfsg46iUQi4NxEILJCl4uh4vyel4nuuwHm6N7F5ej7zoeikbTt9HimBe4Fc+00wqur2lUDh5KYoMrnONtPDdZCWdm+8xSFmcJ6oNarVmjmE22XSVy0qhi2WnaCdJqjS4zzFLDd2NvNlOp4PJZAIhRCW5Qge1k6KNsNvtYuvWrTh69Ci01rj99tvxjW98A1u2bIHWGq95zWts4qjX6+Hv//7v8cQTT+DDH/6w9WCffPJJ3HrrrTj49DPYvn077r//fszPz+OLX/wiXvva12I6neItb3kLtDYNXA8cOIBdu3ZhYWEB27dvx2g0wsrKCrZu3YqnnnoKi4uLJaZZXMfi4iJWVoyI0sLCAppNw4PnAlhZWcFoNDLdrwv62WSW4NChQ+h2zXNxHEMobo10vXqUIbeJO1fo3r2/NMehL+Ykc1625aJ5aLVe7JwiT9UY7CTOIP1SM8LzfDDuV6Jf8sTd6KxuyMgJcPMp9cSZi0HT5zzfz/rGUj+EELZ3ZnXNX2yLXihp53rkLtZM17RR+fcLHZfiMecA7tZaP8YY6wB4lDH2TwDeAeCbWusPM8b+K4D/CuD9AH4ewP7i8SoAf1n8fP6DlURuuiC6QPeiyOiR6EqmZKGTkCNxJAs1ZxURlBd71PFol2ZWZ36QgaabSOennJBfsGIHLirrSISIElgkiOLSicIwNJq4xWdQqTnxeklHwHq5CYPMUmRJjDRsOE02C2xWVlklNLbkhVCG3K28A0rPWsms4F+nUDor4KVJScHSAoAHKTXCwgvudrtYXNiC0WhkxGEKxbA4jpHwBIEfQmZGSJ9yCZzzoou24XPPZrOLJnSmpCXza62xurqKXq+HPXv2gHOOpaUlW1L90Y9+FB/96EcxmUxsX8Abb7wR73vf+3D06FG8973vxYEDB3DkyBEsLCxg27ZteM973oP3vOc98DwPo9HIes733HNPRdyIkmSj0QhCCGzevNnCJu12G6PRqMJcOHXqFLrdLmZFSX+axjh/9hwYN5Vl27cuQgiBZ5991sw5Zgqa9u/fb7ncwuO4/vrrcebMGRw8+DQ6nY6llUHlaLU6cLuvM4eV4fbGU6o0FHXvuu5FA4DgPnyvgSSdweQfFLLMdEgxBs506gkDBT9gkLIKHQAccVHUYgyxOQ/P8yBYWaKtpIFJLFSnGPJMgXNA+hqcaWheGD5ucF76mzMTuRlHD3CToO6aJY9ZO2wNzqmlWimfSp6y+xkXOVC6mpSn76CDCAvUXedSjxc0zFrrJQBLxe8jxtjTALYDeCOA1xUv+x8A/hnGML8RwP/U5iy/wxjrM8a2Fp/zgoe7O7meYt1jVMq0GiePUzhQAFg5wV7s4RrlujdOOhWkgua+jt5bh16SJLGG2TiWRvyGtJSJmkWeGHk8AABeUt1cgabh0IjE0xiZ8LVR+X43C08QBnM6ALuvAcqSWDLWZababDBRWGoFKEUqfhKMZdAKABQ4L7wizjGdTtHv9zE3NwemnUx2UGTYlbbwzWw2s9zVeqEMsUrce6niGOkshgDD5s2bkSQJnn32WezcuRPNZhO3v/o23PO778XXvvY17Nq1C3Nzc0Z7otDaePnLX44wDLG8vIyf//mfx9vf/nasr68bSCAx4zsYDHDqlBHIbzabFoogD7XdbtvFS/ey2+3aytDZbGY3DmKrkFyAkVsVGI3M90iVmWpMbZhImzZtQhAEOLd8wRoS4nTHyQzbt2+3BpmiNCEEPF5CZTRv3IpaijIo4qNoy/WQSfrTnSPmdQJSmwQaF0W1nhcgVxKKoiSVQ0EjKCpcyXMlz50oh+68Akr1w43yOxT9UYQAlCptG3ndroGs24CNovK69671xRTd5/P0669zjbmdq6pkb/27QhnuwRjbDeAGAA8D2ELGVmu9xBhbKF62HcAJ520ni+cqhpkx9psAfhOAKYUtTr6O71AYRF4l0aeklNAFrkqeq8srJoNJi79u8H/cQd9L7yGiPXmV0+m0Yiw8z7OiNUChSxGVWhSK2mEJbjFokv6U0vTRI60L+v7ZbAYmfEshS5IEk8kEo9HIFjUAsG2ALqwuWwNk4JYMgG8ndprmdhFmaVlGTmNGamvUpJMWA020eKaQ5Qk4L5Jmqyv2fimp4XkBkiRD4EdAkRidjsfYtGmTNVKMMTANK/KipUSn28VovRTGofMVQlRgFXchk/YIgCIJ5uPaa6/FuXPncOrUKTQaDdx551vx9re/tXhNisOHD9tIRCmF0WhkGSAUjeR5DhQ4+Pnz5+2mRTxmt3CAQmDOy6pVWpy0cZNAkO/79u/JZIK1CxeKCtII7VYbXMB64GmaotVqYTqd4sCBA7j22mvtfFtZWcGWxQWcPHkSr3jFK/DEEz/AhQsX0O12MRwO0e+2sb6+jrm5OZu4cw/KkRAmnee5ZT4lSYK5uTkrZk/zkJLOnhfC83xQksxEAzk8jyPPU8ziSVGA4tl5BFSV1kajkeU8uz3/3LVKTQ2SJLFRk3s+bq6JKLbuXHXvDzlv9D11yIEcF/pMWuP0Xa7NoPXiRs95nkPpixtnUP6HbIELrVzqccmGmTHWBvAFAO/RWq//mC/a6B8XgTRa608A+AQA7N61U9eTW+6DROFJHD3zssL4KIzHY3DOkRYTQEoJLwzs4LgerQ37f0wSoY4n04M8dTLaROHLpfGiSLSeoAwOczObzSY8bur+86Ju//z585hOpwjD0IT5hRdNN5XKrLM4tTjldDrFeDzGeDzGysqK/T7CYvvdJpjSyJIZZEZduk3vRMYY8jQFrdPJZII0l9YYSilto9M8z23SjsZda43QL3rGQWI4XMHq6iqAUk+60eiAwYfvUasdhaWlJSwsLKDf72Np6Sw8UXa2DsMQYcM0SiXj7fslC6XValmdaaDKE/d4SVGSUkLlEmdOLxms+eWLOH/2HJ564kmcOXMGTx54ym765M1u2bKlgnn6vm/hk3azhU6nY8edNmPi1dJ3EmvB1Wum+0diQWTwyLhl2hiTnTt3FkYAkFkODYnBYIBkNsWmTZtw5MgRnD592kqVai2LLiZmc9i5cye63S5++7d/G7//+79vPXamjFe+trqO0foEnHMr8uRGfgT5AbDXSZEYzV+a5wQZMfim3ZrgmGUT5LmEUia/IISPMGhBcIEkzjBanyCJzRoNggB5ppALBd8LIbhhXECTMJiGYqa7SpZJaF1CdVGkEAQzy6mOIg+mt2ZavBcAOIRQ8DxKbpvn7TWjhMFoHmRZIburuXWObJFOnlWMaD0aJgeRDDPjpQF3aXYUddLcoaT3pR6X9ErGmA9jlP9Ga/13xdNnCaJgjG0FcK54/iSAy5y37wBw+gW+oKwwEsJmb2kCMVaqZvm+j2bDTFCJUo0qclSmIDbe9YpruaTdy8XZyJg3Gg0MBgMsLCzA8wpOLHyLG7t4LXklWZYBomAj+F5lN6fwjDxlutnkseaqunBogbu7MH0W/c9tokljwJlbPl2tFiRvnCYVnReNfRnFFDxzJe3EpvNnjnA55x6ioPCQCq9MsLIwgPMy8+5xYfjEYWgVAckDiqKooi9Mh6s+Rg8y7qQ4Nz8/j8XFRezfvx/XXHct4jjG2bNnbcKUqHc0hlTJRxsrbXp038koW53s4jwIXnKT0K6YfJ7nFrrQWmN+0Yjyl6G40SuRqsz853mO8+fPA0CRIGxiNBpa9TRiAM3NzeHa667BY489hte97nXWq6axJQNBmwidN3eS0lJKrK+vW6ej1WpVEl4unJdr0wFFyhzTOMU0ThGnKTQzhUm5zKE5g0ozhKGZUxSR0SYlhLBrgsZSSgnue/acaGOmg4wajU/JKqlWyrqerHsN3LEFdZtQx4UNfFdt3OrCFi4sYZ9zck71kvE6BPfvmvxj5pM/CeBprfX/6fzrSwDeDuDDxc9/cJ5/F2Psb2GSfsMXxJcL2+mGhhQCknGgMKPRaCD0ipbioiw55k51kObMZpc3YllcwjVXjDIZFXp+YWGh1HCIR5BS2gTP/NwmLCwsIHAgFF8Ybihh4u4ip/cGQWDFl2hjCrlX2aXdNj70ejqvMPAQBh6i0EcYNJyF6WTPi0k1nYwQZ8qGiS6mR+dGxp5C9owBeW6+38geSkSRAOcGB25ELSviYhJDGaIgxOnTpzEYDDDX60MEJikVFwZSa41GYWzqISJtMmScXcUulZcwDG0mFDk1m02bUKXwuNVq4eqrr7Yb4Hg8ft42P+1myxZluD0BCXoifQcyyq6Rc4V9aOGSjjAp23HOwTRVbipoqaAhMZlMAGW0krds2YK9e/difmERx44dw/r6mk3w0XkZ2dLTeOSRR/Cud70LSik7b9rttoUEKFIgqIpzjvX1dZtspo2HoiaqtqN1RUbVD5pI8gRKacxmSQFRFA6F1GDg6PcGCEIfAmW3IXIS0jS1jXDdDV8pBe14lHQ/6Vxc+IjmxvM5W64xrZgX2lyKc0qSAgpVzLJ+OBfFGGWVRGhdzdFlCUkpEUalXaD5T7bM3QyVKumAl3Jcisf8agBvA/AkY+wHxXN/AGOQP8sY+w0AxwG8pfjfV2Cocs/B0OV+/YW/ogo5bEQtqe+igMmkEiuDFmKe5/CjsEIBqu9c9RtXPzaCMsh7qocqufQtdtlqtawmbaOgdMVxDCgzMVmxkXQ6Hes19ft9DAaDotTYGGaSXsyVORdacORtXbhwAQAsJ9fzPPQ7od0cPBHY8xyPq4L6dH1EOSPDTpsDhes03iX9zxh58lZIZU8IY7wMxav4jIBbXDmZxeXGJowhL06icn8IK6eDWAh0uB5sWnTEAMpOGlu2bMHq6ipWV1etcWSMYW6+ZHy4ehDUT44Sc1SSnMxK+KRMfJm/KZk3Ho8rm5cbedD1kDdO4yyEQBQabQqOUuM7y3JEjbAwWGYD3r93L3q9HqIowsmTJxHH04r+wnQ6xfbt2/Hss8/g/vvvxz333IM//dM/BcARBKHtBEM5Gd8PC/zeJGjLQo3S4NHcdr1RGl+6T4b3S30kBTyPoKyyjVSeSQRRCNORG0WRS1CMoSksIUaGaZ3GwLiAaczggXMBxiQ4Z0WUZl5fFo4wGE+ufJ4e5m96ntbxxkZaSgkl3Uay1Z6idP3klder+0pjW9Ver3PHaVzc5y7luBRWxgPYGDcGgNdv8HoN4Ldf1FmgBOzdcMYVZKHJLoSw+q7kNQFAWnh3tCCez0veCN6onMkGXjUZRUpomJZCJvyjCjZXT3k8HkMUnk2j0QDTRjBGs1KAyI0EyDNwZTgBVBgaZLTJgJMnREa81YqsEdCqDM3onMmoAihgIGGjEteAUCKLxopEwV0jSnzjdrsNVlC6jE6CiXR6vZaNBFyIh+4XYwxKl/xRovaRId7Iw3AXgxQXd2hZWVlxKtGE9XDOnTtnv5OojS5U0el0IKW0xjb0y8QiLVSbuyju28pKmfgkiK2kXVVzGMRw0Fqj3e0aZk3RGT0IPPBWG1HDRD/D1QsWQ57NZnj88cdx/Phx9PtddIv3rq6uotvtWgrf0tISXvOa1+Dmm2/GqeOnrMfrenHuhkdzmVggRD2l52hzoWuhZGkuCyMlUblW8zuH57ki/eXacUuWXdjBnecbebyuPXAdCnfTqB9uYs+FnFy4jyC/4psrtsA9B/dn/VxdZ48MM12ne/9pA6DPeCGH0D1eEpV/Ghq5VlDFbswFg8+Mt8m44UdC5+DMyE96EYcQHFJlSDJTtinBkGUKzAsxmwGct5DnAaAFlKSSTrPjuroctJGZsF1CaV6h5rm4Ehljer/x0CVkruF7DcicYTbLMD/fMRX90pQcs6KoAiyH77WwIg21SGsNJoR5+AF8yoiLEF4QQKrMetmZzKEZwD0BcAbP89FoNcGFERLy/ADCC8CFAPNKjNErCPMd0bQTZDgEMqmdRaTh+QyexyBVCiqnzXOTIGo0Gmg3Q2ugCGpydWnb7XaZ1ZZA4DcR+E30ei0cPXYWe/Ztx2Q6RKvNoJSPfm8eWgVIZhxxbKrztFQI/aDw0AVCP4AOi7Y9ShcbiQddlMErnUMWi7TRDJGmrAIxAECn1QZQtO7qD2yoTEkfYtNsGswBgMVGaQG6Sem1tTXbAJYiDFqMURTZpK2L9boeUzqdgDOGbrtlsfHxZAwpGzhz5ixe+cpXQimFj/z5x0xF4qYBbr75ZqyumuKT+fl5uzH7vo9Op4Pdu3fj1KlT+L3f+z384R/8N8wvbEEQGvil0WhASmo8mgNCIZUxUhlDwMwPwpVd2KbuTQNAls+Q5bOCb2w49FHUcLDkAIwJCOFBeECTVAcD36ztwglRyrCpuBDQ3CQONYBG4WAEQYAsz0uluiKC40KAF/MvCErJUCEYPI8jDMsOP64xzXMBBkAwwBcAlIAUZdMJBketkQGNIn9FB+clu8XAayVcAQBKl70my9qBcoOp53su9XhpGGZtmjPSYTOezk5FXoe5wYUiVJ4jz8sdsr7jcf78mLK7I9fft9GuSTsi3cRyN0fl+bp3whizlY2qdl/oM9zwaCPYpZ4ZLq+vqqJHz7k/3bEpd3mTdHNDNzfEA0rvtO6tkJdN10oYdCWygYLnc1ONyDiyVCMK28WmFkADJqxmGo1GiCRlFY/D4tpZhkajYRuKuobD5bkWM6QCf9FYUfsmCjVdA+T7Pnq9XoUn7763HA/YDdlVYqONyJ1DdH7uPXHnMGHOtDkAJgKjbij33Xcf1tbWcNNNN2F+08CuBYKpXEqj7/vYs2cPAENhJEH5ZrNpmSF0jkqV7dHSNEUgAntuNDZuXoYOckp8Vaqz0f0n3j1FXNTZB6xsSUYwHOHNdWjQzBdYL5+KdsjI0fN0/4UQ8L2ymtBdO+5cpcOIb5nD8zi05vA8o8nBC+F+81kFTMnLqLUefdfvtXlRtSjHnX/u+n0xRhl4iRhmoOAKMAaNqj6GlBIK1S7SnHNw5oFzgDEJaFZgUhqMe9Dc1Ykwx/NBFECtYkdXX+/epOcbYNdI1pONJtljXldQKiufRTfajgMvF1A9nHOz0PTZdf1dFw5wPR43Y22eK+ldZgFI531VXQwAFZ44nZ97jnRvtNbwfIAV1xGGUYFTKwgegnEfrWaENFFQWoMxWcGSXSOa57ktpKCNjwwDjbuhbVWz5cTucDP8bvRDnFXql0g5CqDsmFPP+NchAjff4HLCCYKjg16jtbY0PBeqyfMcCwsLyPMc//AP/4D19XX88i//suEUhz4eeughDAY97NixA2maotkyXdpXV1cxnU7xspe9DAcOHMBzzz1nz5cMGABr4ICqQ8E133DeuddIz2utwT0GKVsFrFUaXfpOA4OZ+yhVaZRcbj6NtRuVmEjyYoNWX0c03+uHuzY2cq5cA+mumY02Cc/zoOG+zzwYKyobdSlrQJ/rMrHca6qvWcp/Xerx0jDMWoORx6yLHmFKI40TzGYJ8lxB+AFylSDNJbQyYRDAwYs4JYlzWyDgLtT6za2HqXWMSatq5Z/7k7wqwqkIynC1K0yo2656oMVnalRFW+gzkyQBeG4Xuy4Wu/CYZWQQjWsymdhGp5RJD4IAyE2I7WJ6AKxGBGHagDFSmSwTrYbpUXpMWldL5N1xc70g97toYnPOIZGABwxxlmCuvxlaCSydXsauXTtw5MizOHn6BKZJjL2XX4HL914NPzA0qlym1rMSHoNUGTQkgrCg+zEFLgCmSlw6jkeF0XXwRAk7boSf0rUR7m+5v8V1USWf2zXajUjqODItRII2aMG7ryXDRB4jsUGI2qa1KSc/e/asEfW/6SZLKVtaWsLa6goWFhYwPz9nN4i5uTlr3BYXF/Hd734XTz31FDjn6PV66Pf7BQc4QqPRQJIQnl5yzn3fx2w8sxs5XSuxMerXrbWGzrVttErcXNcA0TUrpZDl6fMaetdA2TnlFJC4VNB6BGgTkUxX7sFGa5u+z42i6H/udbqOBVBqXTwfvu1+VmGwKs/RJkWfSdf6H8HK+P/noNBRa4u/GipN2fuP6Ft2kHSpmmZDjQ1uFB0bec318Mfd4epe7Ubec/0zyRhLxi09SUsYgOgTAAAgAElEQVRlMWYyhMR2sNVtwitpYwUpXhUG1S1WiOPYylzSuYZhCERlCEiH6zW73iNdp5uJr1+Le30u1up6BO6kd/myuc4RBk1kRSm453nwuECWplhdXcWRo4ewsjqE50fYu+8qxAVzw11M9F3k0ed5XllM7k+z8eR2UWtVKphRkQppi/i+b7FgghWIk05FLhsZZvc73XngCgXR62gBknNA8IHLaabrofvXbDZtFWO328V0OkWr1cKmTZvQaJT9IynPYWAQZSsad+7cied+dMQaSTq/0rOvzmeKTNxoy4WR3PXgvse953Rv3c9ijEGqMlq1IkiOIXfHyoUg6obw+SLUjdZlPcItf9L7NQzzAwBMpGW0Q4w3bD5XQsqNo2PXSaucsyoT6jQO5LS5uYyfSI9ZKYms6PhrjLGElo7+rwK0AkRB84EW4MxDGAZQKkGWJUXZdg5VkPaFxyA8Zr2WjYxKPTSigQUuJtgPh0MMh0Or00vGIsty6/XmeY7A9zGbRWChBuO60Ml1e+TB4p6MMct6CCLDBEjTFO2WaehqBGPKcyMDXQlJHc8GqBpI+j7SdyYP0S0Kcctdy1LsUhlOFeMQRb6lnZGnmBdJGroWggMaPfNaTwSYjC4g9AO0ohDDCyfAMcXcoI3FxQW87rW3m07XK+fAOS9Keo2Xn2WG9zoaDbFv3z4cPnwY3W4XaZqAsfJelfBAZjc6qZT1BKlajjb2NE0xGo3Q7XYRx7HFnUsKJq9QBl2tBjKqLrZJXT2o9JjG0eXxArAbzGg0KgSMUstYabVa6PV6Vqc5SRIDb2QJBoMBPM+8j3Mj6SmlxOrqKpaXz0FrjcFggN27d+OHBw5iMpmg2SqTclpTl51SdVFrbTnRrhEiiGcjwxRGAXKZIYwCMA5kGcAFQREaucyAzIxNp9OxGz8ZyDonnQ7OOVix8dN9cAuNqACLcg5SSgR+ufG5Hu9GG6frjLibDd0Xqgug+SF1uYnQQeNmJAk4wLhdiwTnuI6NGz2QMSZn7FKPl4Rh5oxBFBeb5Rlmk6lhISjDSzQQgVl43NeI4xRCSDDBrZeZq4JZwcr6++eDMtyw9IUO19skw7SysgIAxUQObAjsNhJ1v8eKGXllQopuPmk05EpXPFi3WKH+oMiBCk6UUpBFy546hONimpWwzHmeDq1NFV6SZHYSBQUH1o0kaFwYY5VNxnpaMwlPKPhCIeSmENNjMQbzTZxbVhBcQascnMNuav1+H57n2e8lTNkNP+lajOA6UdNoY5na+86g7PvJiNIGkuc5Wq2WLSlXStnEGvGUyeNxw3oX9nA/113ALpZIFYCTyQRJkmA6nRYayqVBkFJasX+lTJGM28ty01wfp0+fRpLMrFccBAFOnjxpi2gajYbVj3YjJCllodZHFWmlkZpOp9C5rmzgjLGCxVHtEWlzFE4+gbx9ALZkn3Nuow/KBVgYRFclPeuJOpeOWZ/zLlxWhyA38mrrXvRGUTK9ln66cCUJoNXvqTseZHNo3dOmUtebJmNMG7fbmOCFjpeEYVZKIUtmUAyAKrw4zpAmeVGyWnAQlUQIrwynlJEI5MyDUSctjzo2dCk3q/5+N3yjBUqcV4BC1TG01phMxkVxh0Cn00IgPHh+qQeQJAkYN0aTymC1NhoZnuchzPLSswsKPJgpu/hdTLoergEl8d31IAjbpAepo2VZhlxllf8LUTbfrBT4FHgzVKlXQYuePFLaDGgRpXEKJRiYDzQbJovuBwkG/Q66bSAMFKKignN9fWS9ItqUXCyYNp46hau8v9z2qiPvJ03Ksu16CE6Lna6TDCfBG64QFkVb9FrXU6axdwub3O+K4xjjQhCfDHW73Uav1zOUMIeud+LECTDGbNcV2uBbzaioUFTo9XoQQmA6neLkyZNWz6LZbGLr1q1YXV21Y0gGzFQLEtRQrYDTuRk/Ko/WWlcU81zDBQBZEQUopYysrRO2k2Gq5zfqxtOdn+5zLixF64rus5sMJ6PrGn1aH/UI0q5z5jhgzKwpDenAhTkYGKQClJZgzAMV0ZjvrSaXzXMlRp4kufPai/NSLnb9k2eYpcT6cA2ySNzNEolcSWS5Qq41ZnGK8dRAHYEfIUs1YpmY12RmRxJB0WDRE5Zn64YUGw3W8x2u8aaQhQSERqMRhsOhAyGYzPry8rKRNYSh4IybLTSaJpPv8SJ7r4yuwsrKitVmHQ6HJnSXqsSIiYLDy4mX5zlGoxHG47FdDK6IUShK9TAyIHQQ1kqvXV1dBYoKPDIQVLVnwrOGFRSSufEIep2mHZMkSay+holmTOKT4INWqwOZmGRlN0gQBQ30WhnSyRA3Xb8VR44+i9tf/bPYPDdAPJkB0BiN1gsKmoetWxfNvFAKcTzDiRPHobXGeJwXhtJ3jLMuvLTAcomTuIQ1aAG7myuF22RApZQVrQkyMgQZueE0UHqJ7lwiCIL0MWgxb9q0Cc1m00Iqa2trlnJHGx2N9Xg8tmJVZGSuuOIKcG54071eD+PJCEliekSurSXo9XrodDr41re+BcGLhGgys/clioJiDEr1xizLEAgDJ1AHHdoICTN3N3+llOEAwyugHV144oY/bN4v4PumAwhdl+sB07hXvFNUWU+01ihapEjtIsOrSzqe62y5mjPufbF2RlVlRWl90+uyLIPno6KuSNdSN76ufaGDzp/W9kYQx6UeLwnDzAuvR0iNXEl4UoNpDjAFmUo76EIIRFETnDiZMGWcLq7ni2r7czrcXdq9WRsdlbDceb97Q2lyUShNhHe3eMXCLEV4lGYm+TMcDq1WA2HMuSpxvyhMC+ytnAxZllnR9rW1NWtUiEWgUpO8Ip2Ekr9qzpeSW57n4cKFC5BF2SrBIu1214bUs1livzcKG0amk5UT2RWhAarShowx5GkOlafQKoaSsuispqCh0R8M4HsKnVYIjwML8wtI0nOWRdBqGXW39fV1nDt3zkqkDgYDK3Tk3kdK3LgL3d2YaROjRV3nMpvcRHpRpxRKiNH3uNfozif6u24kaJMlpb6yK3OInTt3Wu9306ZNNgKjhDBtClFIErdGJ+PMmTM4cfK49bpnswn27duH2WyGY8eOYfeuvRYqq4f57jxWSiHO4sr8cOetO+/tBsjKZqQbRZMubdOlk7nrxR1P9x7Sd1I0wzm3sJJ7T2wkiDLxTIbWzb3U4Tn3vW7kSXPXXWNSwXb/Jjqjm4B2oRgTccrKBl6HYmjeud7/pRwvCcMMBgTCg/YZQs0QNkzv51mcQo9nkFoV6l+FPoMS0FrZIgkAmKVG59gPg1Kq8HlgDDdU2/B0avgs4WdUct3pdABQyMUtNkvfS3hTFBWt0AuheJrkLlRAoRl5JnmeQ/mUnNCViUcbA/1OuBVNILcykc7fxbtoEY1GI2Sy7BJuNr7Q8Tq4nWgyLya5A31Q+E86w1QoQeXQ/ZaAlDk4cgReAE8oQM/gCQYlp9i8qY8sSRBPZ8iypu33R3oZKysrOHbsGM6ePYtNmzaZsL7Vwmg0sp5guVjJq3M4sKykrQGoGBDacKlqkRYY/ax7dXRfzHddrLtAr6HkEXmKbuk9YY2+bzqyPPvss7ZA5Nprr7WbaLvdNt3Si3M+e/ZsYdDMvTx06BCOHT+KW265BRcuXMDc3Bz6/T6ee+45G00FQYDpbGITk3QujAlrWNI0tVAGgIphcZkZQMn/1pzZSMA6HMU8rDsB9c2rPl71qLUOn7jrlOavG/16osqdp3vrrqnyHNyiodw+ssxsxBRxUyQBJu2aIsiJ/qYNr5o4LWUGaA656oV0nS8mrwW8RAyzZgypx+3ObG6Q6XbRaQfI0xkGrdCEZjxHggCc+/BYmTALMuMlpWmKhYV5NKMGGmEExhWUzmBax2Tw/eqitV03YARXsnQKsNziUYHvQ4Uhus0G2FwXAikmw0YRunuYzhRGIwmdh+h2Guh2m2h3IkTNEFGjAYVC9AchmhMDs5iETsNoahTeUbvdRq/fq/R806xcJLPZDJ1WG+f5eSTjqfUKtywsIMsydLttK85DzTiBMiwzcIXZKIIgAGcmo6yVEX+Z37wFUdRw8FxAqsywJBoCmmdg3FRNyXVTHSgzjWbUhmhxdBpNBIGBUKSYQBadmLuDPqJWhqg1Ag8Uzq89h5ffuBejZBlSRhhlK9jU6KHR9NFohDh29AQ+//m/R5Ik2LdvH9rtHgaDAdI0xdzcXNkEF7TwS8NsaXYocWDCq92kEXnLQNk/0K0mdOljroflFpSURq7sFkI0xl6vhzSdYX19bA2EgWXMvdi6dXux0Cd46KGHsLq2gul0iqWlUzZpKKVEt92xmiSdTgdxHGPv3r3QCvC9AOPRGI9+7wf4o//2Aezbtw/rayvWwPi+D6YkOs0GBBi0Arjm8ISHeBJDycyyasZZhiRuwPe4jbbMejDRRa414ngEncXI0hRcKXjceMizNEEuFXIwJGJq9L8jYfXGm7rhJDQNZpsWnHtK/OWp2diVzKyTkhe88yAIDAlACCiZF70hPTAWQmsOQMHzODj3kecppGTgPHIwakc+IcuQZRqzWQbGTDQVzyg3JYvo0eQMUq2RJaaoSkuFOEkxLaBAVXjJvu+DQUMwgEMj8IQ1znmeQxbeeJZliGczyOwnDGMGyFC6QH+xI6kqpYe8U7OYSs82ahiPLy4EYtxwo57sc0PQSz1oUVIjTTOBNIRnJpWLQ7oPxhxOZRFCE10oTVNo5BVj4D4UyvDODIxJ0Kw4lUvkJbsevSs/6Hoc7pjQa7K0WkRCQjSARpYxME7eSAbDF6dED+ALavjJisVXnLc26mB+wOD5Gp5vONweZ1Bco+EH0NwDh0an2UK304XWGt///vdx9MhxjEYjXHfdddi7d6/1wum+u96IgRgoUVNqnGhVDY3JG3S50OQxk4GlOVgPg92HNRpOElQp04+RYKUoijAcDis8aCpw6fV6NjdgNuMm2u024mSK4XCIKApscUgQBBj0+gBgW4r1+31cfvnl1itfW1vDkSNHbCduITqVJBpFSrS5EGw1Go0gcxNBtVotKFVKhpInTOvQbkKFlCtx6YFSs1uIUmGRQUBlZbLM3djofFzYKM9z+F4JB9I51JPYNJfNPfArGPiPW98u9ELX4kaXbjMGt3lAPap21ydt5PRwk671OeN6/z95UIamIhHzpwlLq1iueWgopeExqgQqceAwCu3vbgLDffxbD9fr4ZwXHlEKKTOEUc96ou12G1Gr1FS2/FheQBJFdt5NaNDnu/QumqCBH9gbSiEUaRKQCly73a7ITdYnB5U2uwY+DEMErQBCeEi4Mbhk1EucsDg/VlRcQYAxDgYBknH0/aDoZ0jayAVdS0v4giMKPUShNuXeLAEXAuAaQcigwJFriV53AAaGw4eP4JlnnsHS6bO46qqrcMMNN9hFSedPUp2UbARgF1jVMJf3mhq8upQrl3nhYqw01i50UcdC3e80iR7T+YMKhYi9AcBi3DR/lpeX7aZo4C4jl9rpGh5zsxlZQ+F5HnxRdsSJ4xjz8/PYs2cPDh06hBMnTmB9fR2PPPKIrcjLtQIDQ6YkFANSmSPJM8gC8osTk+hbn4zhM9goqg7xufOTIDPGy8IoE9K7htHFjk0UYYt9nHDeVXdzqX2KqcrcpftSZ2TQZugaZXedu2u1mofQNTtS5Ta7eQWCAgkCokjKZebQ85RXcsWL6gbd/f3F2KCXhGFW2kwi6rRh8Nii24I23RMUMwL4ECWnFShLgbUuq49cIZSy8qk68V5o96rjzGQQPY9D2lDMh8w5dLMBzM+h0+mYRFlQCtzEBY8xkQn8Ijyj9vOtVgtSGWx2fn4BjQJnpcSHLrjd5O3Q7uxm0Hu9HvI8R7/ftdKgLm1JKUNvIiYFYCREkywF54ZBwbmHIAjt/wBnQkOCcw+NKIDMNfJcQbEEHjWYVQZ2gnDKeMHQaofoz/kIWyP4UQKPT+AHPsAERDCG1iHG0xg+Ahw+/Czuv/8B5LnC8ePH8ba3vQPHjx+310ZeMgnnuGXQBEskSVkV6vmlR0UeoevBEXeaNisXyyTvx13AdF20IdD70zTF6urQJp6EEJhMJhgOh/azu92uFa2nOUnsF2pPxgtGTbvdxvz8vE00ZYnZxPv9PoIgQL/fRxzHePTRR6GUwu23344vfelL6PV69p4BsNEQzSO6NsKXGWOImkYQKWyYDT6IQtMsmAFMcCu8ZeZhgTVDA5zBDwOQ0FWe5wjCEEEYGp0brSCVrIybW7Dhes8uY8Y1su65E3a8UeLRNapKqYrnSmvYpdPRXHFzPG40SRsAJWzpM9wCNZdnTrbHFWDaaFOjh6WgXsLxkjDMjAEMruCQAOfUyqYQp1HMeG0oQ0TGSrEizw/sRCCj+G/xmN0wqP5euhFkEDyPI00lpPIQ5h58X9hEjYVYnJZYXm6SK/1+3yYIVVFO3mw2ERRetumkkIOJqvCMiooJrGGVvHrdrtGFbnjW63UnJC0EU02XWQPfCBsmYRl1TFK1YfR5u91+kSBREIIjy03SyvAATSLK9wpJxqABDQlfeMWGYIjoXHK0ogiNpgBnUwieQngavgBEwKFECt9XgM5w+uQZLC0todVq4dChI4jjGMvLy3aDmU6n1pBJaXoorq6u2oVeqo+VFWu+V2ogu81GaUGSV1pf2ISvu3/TPHCfcw28aUaqkGUJ4lha40H3X8oGpBTIMm2TSCUdj6Pb7aLZioo5ENkEYRzHaDdbttKPWkutr69jfX0dr3nNa7Bz5067+F0DV78GMhZukYML7ZChcb09ugZ6v7t+3IjCLbYwD4Dx0qGpRx1AWapuoTXhWQjFTUC6Y1/ahhISoGst80X8IsPsJgStraiV0VvosLgGKkai66bkuuuouZ/pziVad3WWzouN2l8ShlmDIc2LHcxJXM7iFHGcIk4kMqkMzxklXOF5vDIALqbnYnwbYVAvdNSNM91MSkiYUE0hEAIq8KFUhFazgUajCa/YVTUXNiRK0xQiN8wM0i6WUiKXZXdg5lCFOOfwgtBOgjAMreC+TDNbikwGrNkKLXzinn+SJOh0Ouj3+zaxlKYpYpkUnU58COGj2egA4EWxifGaDVwC2xLIGHqNZiO258m0WdiNyIepLsshdBODnodeN4Xnn4PvS7TCFrLZFFHoI5VDCHSQTjS+/g/fgAxGOH36DJaWzuLtd/06GGO2uIRzju3bt2NtbQVra2uWEUPGISjGyPdLCEfwKp+VvCJaNIwxm2AjXJHmCxXhkKFwFy3BUEDJ1R2NRjYxSNgwRVhUhkxUzna7a3FWcxTFRpLaaBkvfPPmzaaghHGMx2MLjRw6dAgPPvgg7rrrLtt5Zd++fUiSBPPz82BeWbRBBgi8TFZO4xnGkzHSPEO73QQ4h1+cZxBF4A6URvc7kxJJAWVkysAlstBgYwD6c3OIomZZNSg1hCO3S5uGEMKwgYq/qVNPFEXwinXiGmzqA+k6FzSvyfEiz5q8WHrQUTfUBOvRfaH30z2mzcttr+bCUrQO6bWuvaHXuBsKzSnaiH8CC0wUZO42AS3DzjguSo5zjTBs2OILA3cwSwlyd656Ao5utmtc3TCJDlckyV3QdS+pnECGueALBukbsXhazDR5UlnuvIS70UL3fR+zeGIx60Yhgm4nn0OwF0IgmZm+c6QHTJPGTYoBpRQhYyaZR/xl0vOVUqIVdopr9SG4bzwdpk0BT544HoYZr6jZANOs6JydFLii0Vz2uJH55MJQAyPWBkMGleXwhUYgOHQORH4DTHNwlqHZFFg+dxILc1sw4QwHDjyNXbt2Yf/+/dCFJKWUEps3b7ZGMAgCrKysWIpWEAQYjcZFpZwjsamqVWRAlafr3kOXEkdGs9vt2jGkEJQMshvWcv7/UfemMZYl2X3fL+Jub8v3cqmqzFqnqrq6p7uHMz1Lj4aaGYkgBWMoi7QgQ6JHH0QREi3RkG2JsEBtMGxJkPVFkuEPBgEJMggDpEzJ9AA0QcgWRYEcyj09HPY+3V29VC9VlVW5Z771bhHhD3Ejbrys6maPQBs9ATzUq5dvuUvEiXP+53/+x3LNkya5t7Iy8CXS7Xf3WmjJxF6rwy5ga/ynszF5njOZWAjk1q1b1kMztmXW2toag8GAb37zm0gp2dnZ8RuUi8CqqvJ9JkPv0CnBOdlWxwByHOs4jn3C+HRi1V23NE3Ji6m/hisrK0gRP3D9fOk3yhveYRPROQw+PC5nsKRYLnv3fP5mLYQCTm4thP0P3XG79en+Ft730/CHswenPdkQb3bHGzJywoja2ZXwOlj7VS1BZC5h+lEcQjc+FoZZSpfgEk2Cz7EyBKo2qHqZsxh6QO2j7WjscJ9w9/wPGQ8Lw5ZDKYPGhr+u5MUmyh6SdFDL0EiIe9kse8uiCEMkd+PDCeV2+RDn+rBwKUyI+PdJR8WzC6NN8AkimTTFLRFR5ISOBAaJkDFZahsVJLGVk5SRIIrt9TBGkiYZSYLVZRYGYQS6khghiZCUekFRHGHqGf1eRl7ZDej8+fNIKZk2kpRucUJbfCGltI1LocEM7TmGUIbRLR85xPxCvNU9d4U+7no7KCFcbOFmnue5Pxanu9Hy1jtLOLIzKO7aTyeWtTEajRrvrODk5IQ4kc3itVV/rk2WxG6Er732Gnmec+7cOb7whS+wtrbG4eGh53xfuXLFtsOKWucm9CCd4XJ5CfvdZunvYfIznEPOC0zSFYqianW5TWuwQjjBDWc8w0ReKHjlfkMpRZIua4q77wvXmpvHLqHtXg/vbVgWHs750+v5wwzkaajEfe70a+5Ywuv1sLUXzrXvO4xZac14mp86QUlZa6aLnEVeUCqNqRWirOg3xtclH5RSdOPOEk74sMnyUcbDcER3QV1467R8QZNKQ5RlLBYzFrPMlwbHznAqg7B9g1HNBHUejC1rtpO112vDYOdxa8QS9uUWkSqXaT3AA5PydEjlhluYRliushQxQkgi2Sa9/GeE5YimaUqtBAZDHKcMhqkX/5dCEUWCKDGga0CzMsjoDSp6PUWa2XOMTA+paiJdI+QuVV0xWJHIStORF1FK8eUvf5n5fE5ZVqyurtLr9SiKgu3tbW7ffhetNZubm5w5c4bxeMxsNiNNs0ZvJNisZEtJdIU9zhtzw0ElTuvCXSOHJTqjNR6PfSPXsLDIQRRx0sIGbn44SOR0v0RB4nFZu2G3uiPGGDY3N7l8+TKbm5s+xB+Px/6e7O3tMZlMeOGFF7hw4QLf+ta3eOKJJwAYj8esrA18gwJtDEprVFlaemmSUCuFNoYojq2IVBzR7Vs4Iet2iBILYURSIkSLpRphxe8jZZBKNUkh4XtLamzFrpQSg/AblYNEwmg1jERDD9TN19OeaujIhPhtCBu4cdrwPgyfftjjtHENi4zc+nfncvr73L3xuTBjvFyBmyNODuH7zmMWiKVwpCgqtG6xubquqStFJG2jUYcPaR2WRtZL0MT3CraH4wFvN0hMlGXpvSXQxAkoXVOWuc/aW6PthGQUQjSFC8EO7B7upp7OOGutUWZZl/b0JA6TPL+fx/wwT0UIgUHhtHrtsQlC8W//21IitIOGmgy9NhAZpGnoZEY3HnSFjCuipCSJaqI4JdEpMjIYPceIMUmSsr6xQjGesr563hfGzGcLBoORx+F3d3fZ3d31G24ovG7vSd0Y6FbZLEtbiU53PU9HPO78w8arziN2mKyUckmnGfC6yhbSWbC2vkJRLCjL3GPi9+9vM5/Plzx7IQRlgc8LpGlKp5MuQRIrK31PhdRaczyeMBgMfDm+a6C6u7vLdDpldXWVZ555hkcffdQnSU97u+58Q8OXJAlGyyU4wc2lEG91n9da+yS1M9ZhNOI4zad/z61T5427a+qOw73Pfc/p6Cacf+E9epiB/CAn7DRMEa6B08Y5/I3Tj3A9hMnP0HN3nw/VH53N+F7wZfiYGGalrIiM9XhcBZaV96zrmqqsfQjlMBzHinCvuR3rNBTwvY7TE8LdCOfhuuSZw5i9ulhZUdcNZ1VpdKQf+P3TkILzIMKEXejph5tNiIuG3wEPipmHk+lhWKoz+lJaQRhwlW0Jlj++nIG3XOwEpMBojVaNoIxoMvNaI5RBaUUUxURRQdw8oqQmljUS2xBTmwqtT5BxwmClQ5zMiDsdNjc3ybKMxdx6pkIIjo6OuHfvHpPJhMHAtlRyfe1cQnI+XywZJLdwfcY/8MpOe0YhVumwZCltyXooZOM0RMbjMdPpdMk7Ojo68g7EbDZDa1tK3RZitBVuncxS586fP9+UX1vqX5pZHHdtbc3rRLsNIuxas7q6ilKKCxcuoJTih37oh/iFX/gFrl279gCzIsRUw8IaB1tUTcViyDZwUI67juHnw9fs91nDE7YycxCH29jdcYRJV3c9wvxPaHBDAxca0XA9OsMXrld3DA+DQB5maD9sIwgdpXCc3hCcYQ43vjBRGfLdw7X7UcbHwjAjRNNCynrHZdnW9JdF5cPCKEoYDISnP9V16WUzXeVfmAV3E+p7Gae9VveoqorpdMrR0QE79+82hkyQxTbMyXMr7F6lCsExUdqooCmJiBqcTigPhbhjXeQzyysuKiqlvFHSWiPjll1QVRWqartXuJsdNRMjLVr4xh0ztIbZLUAhLG5JbDUxMBpjljcLe0sExkiUrpHSetV28UtKYwtakjSmKudorZDCoE3j1XYqkiwnShYgZyAijK4h1mg9Z17cQ1RT0qRDf5RzvFjwxS9+kdFoRJZa5bX333/fi/vYBNiQ8+fPe4bLaDSiqiq2t+81jADTRFsFRd5WYYYFJg7qOL2RufN15+8YBr64ojFYDlt29246nTJfjP1Gsbq6ijHG9utrRJnCoqA0sS3HptMps9mM+dy2msoLi4+++ebC3zOwHb7d7zls9f79+9y4cQOlFL/927/Nn//zf55f/uVf5itf+QpH82PvpDhDYU6fSRAAACAASURBVEuaFbVqJHQxnBwf0U1iH7Y7/NfxrcO8hvvdWrVJbRvWt0m4rKFexnGMVjCZnnjtE6e45zzn05GfUgrZ0OXC+3Da6XBrwEJ6rSF0UUoIjbjjd+vZ/RtW/bno1uHf4eed/TCmbQ3moqjTHrsTEXPnFF63h+XEPur4WBhmISSdTs/vNlGU+9A1TVMW+Zyz585Y7KoTk3ZTsjSlk6V04xRpsN0FhCCJBFIr6jJHVSm2TVWM7eCgMEZaNoWqcdWGDu+TEkTSQZUKRGnxOmmfa5OTxIZIGoRRdDNLJq+KkqqwSRDVbCrdrENHRGRp1NyciukiZ2YaTLGwmOJsNkMrm53vdFIiYSjzectxrhW6yeamUlILMBhbTlvX1JUg7nQoigXpNKAPpQLVZPzrckEkE6TWFus2cLJ/TNLpIqQkTbvIuM3ci0hipKHUjbRiKiGGqJ5SVhJMjBIpSguqXAIJEqiKE5JEkQpQ9ZzFosawQpqch+6CZPQ+pS7BGLrmB1C5oaqPWR3+NovJbS5e/EPUekEpV9k9OGBmJszq+wyHq6wN1lkZnqPXXWMyO0EgmM3m9Hq2pNkau7GPlkarbYPVqraG2VZRNhSw2jWWNcio2YypmmKatlmBlJJalRyfHANYWUupeOutN71HfebsOoPBgCztesOeJGkj7TlgOBx6LzQvJkRxRNbVGCFIO13qyjJqOp0O/X6fqqpbWdFaEMeRzz0cHh7T6fS4f3+XS5cuMB6PefTRR3nkkUe4c+cO57fWqZRCA4eHh1z+xBXG4zFpEpM08pzomn6/i0QjIogSiYhAo5CxoKpq4jhCNongsiyptdWaUbpESCvTK6QhTe26Ao3WNXVtjZJLbrrmERCIIZnlMuUoipgvCruBNNWb2lh9ZLcBCmGTwPNFIzVr4kaqQVMrQa0EkQAjGifIcfmw0qTWrljtGyEViBqlC+qmrkBpqFTTjcc0Hm/D/lrkC5SyJetltQDanoG2nDx7gJ3hjHsIT0ZRRJR8dHP7sTDM0PIDw3BMa+3DQ7d7DYdDuoMBWZKSpQm9JEMakM1mVJa5Vylzu9TpLO6HhRSnPWX3cItnOBxSFWc8uK+r3HcpiKKIsipt0kdpOpXlTMrYLtRaV55O57x5KaXHoNzu66r0+t2B9xxC+p/7LSBIaklPzamV7ewL0Ml6zeSooWG9CBHh3rCEoUm7EOMsbt6jsL30FF2RIuMYTGSTSthiElVVaJ2z0utAZFiUglJFUEOioKoFeW6YUtDtSAgSqkpV1NUCaY7o9WvW1zocvXPIwe4us9kea8Meo56VuLx6dYPpXBHFhvHx1NPl7t+/78Pt0WhEt9v1CTOXMA2TTkII31Mv9Mzcda3Vspyn8ybLsuT27dtUVcXW1tYD3FVrqJvoJe1SFBWLxQG7O/teGGjjzJDJbIYQgiztkqWwsrJCt9vzHla3C+fOnbOVhCL2XUEcZ9rOAZvsu3HjBmma8tM//dN885vfZH/vrt8wLl68yL1797zAvm5YGEmSoIxpO7cHSW43l0JM3p0jTcu2ug7kNpu5HH6H1posayGR0Lt0FZuhN1wUBVnaRijh2gxxbmfEXXWdPU7lqWlKt51a3BDCJihDCKYsC6bTKY6e5xJ7uDyQg8CC45RS+jWpNb4DkVKKfq8tPAthyHB+uH+V+T6DMhz25YYLGaCdOOHNCXEncGF3e9IubA0v1mm86oPGB/0txKJCak9dtMpjMkqIIkXa6bYJn1oTGWuQa1157YOytAY8atSvbNjbWTr2hyUitNZLRRDufPPYYaL2ptpzbTnTStvSHGUMIo6aRRiBVKSR1bV231lWFnc2xmCk9SqJYyunKQRaWC8JsGL+MrZl9ZWirhXTmSJTBhkbtE7QJGgTUVe2eaNdxBVKlyhd0E1m5LNdJsf32L0/piw1sYhZW91gkAzZ2rzCPIdZPmY8O+Hg4MAnC51BcXzcbrfL/fv3Pe/Z3S9HS3RQUqgf4ry7sixJ4q6nu1W1xYmtETeNV9vzHqH97bZU2C5Ci1HHUerzA46Xf3/njsdlnTF3yT4ppRfUP3t2kyQxTE4O2NzctBDPUm85w+rqKuvr6zzzzDP0ej3++B//4/zjf/Q/cOnKFZ+cdNWhwoaF3ngWVUUkWolKBzG4jSzEl91wRuw03TBMpIbvddfVXWf3OjyoZeM+H24MIVbu3uMMdxQt00Ptw9mKVqbVGuZ2kwnXUFgNCrSRk1vjIg6Sk+21c+Jqp3M5ocMX5jJMcN1r/X1Gl4O28solW9xN9RKGwSR6QN1JRr4oIkwshB54ONxN/16GS664Y3UTzw1DO9Ec3mYnVJs8VKbFt1xyKInTJW0DV1adZRmLWb7k6YciMCFeFS4SS8uKsB0rWp2NurLHWtdWSF00RqSoaqKoQJuIJM0QcYQqCrRWKJSX8ux2sJA0hrLMbegrJVVVkEjBSV5QlzkSgUTT60cYAaNViGKJMdIaBJpmu1qhVYVWJUIeUeZ75NMdEiQbo7Mk6ZCts2dZ75+j00u49c495sUxb75zk3KquXTpEsfHxxwdHRHHMU8++SRgO8K4JqfGGF9gEWLzxthSbReOQuvZOVxaN7BTmqaMRivs7u76Becy7C6SsrzyxIft81nezNXUL96qqpgvNFFkN4jj4xP29/cDhg++Es4xRTbPnuHVV6Wv3Lxy5Uqj12yN2PHxMVmWsbe3xxeefooosvQ6h8PHaeK/u9ZqySjJuNWpCD3mkIkRRq4u4V06ic7me1xYHzos7ho7g+rmcGjU3XdXVYWJhP8NZ+hDyCPM+YSbxrLj8nCeslv67nhdsYvtwzhr7U/c4tPGGExgI7QOGwgsl5uHjl/ouIW4uI+Iyz/AZqxCiMvA/wpsYd2kf2qM+Z+EEP898J8De81b/7Yx5tebz/wt4C8CCvivjTH/1+/zG97QhJPFGSpXsWYv0vKEcRfPTWbZNJ8MPWv7+nKb9g8ie4c7efhwOJLzptykStIO2gh/syvVGELdRgIyii1mzYNJDV/9FOyyzssIG4S663I6xHbXrdcdIKRL4GkMjianKMuKxbxAKcN8njMZzyARSBmTJl3STDCUjWpcHCG0phIKqWtElCCiiKKUSK2pVcXJ/BghNVEkENKgdYxWNWVlQCnu7x0zzBOMSFlfU6AUlAuSqCYWNYks0CwwOseYGfXiHuV0lcnBFR575I/QW32MNE1Qdc7OvR3eeXeb51/9PfaP75L1In7wqR9hbW2N/f19hsMhm5ub7O7ucu/ePY6Pj7l+/Tr9ft97YYvFgsPDQ7/pO90QpZSvyHLGoCxrL3BUVRUnJ0dorbl27RqHh7YlWF7M27lnnGFWqNrez35/xd8XIWSbGNNnPF6cpin9fp/FYsH7t99lPB7z7rvvkuc5t2/fZrFY8O9/57e84p8QggsXLnBm4ywXLlxgY2OD7e1tr6uR5yU/8We+zr/8lf+9gUS6lPO8SegpqsZYlkXNYlGw0KWHEtx6c0bEif24a1AUBVLY906nMx9Z5YuSw8ND34rMzc1eb+CP2cFzALPZzOcywrU+Gq4BeOaV03txnrVz0pxQf5o6JcnWYIf6HGECW4rWnjgDqZRq7lPfrz/XA9AnEEUc2JkWOtR6mRGVJumSYT4d5bpNL9ygPsr4KB5zDfw3xpjnhBArwO8JIf5N87f/0Rjzj8I3CyGeBL4OfAq4APyGEOIx41oJPGSEO43zeGG5RDqU2ouiqJGbbLPtStUP4GMP85Qf9vrp9zzsEU4YXbesj/l00npkTfl1rSESzQbCMo3r9MOdX3gu7jyrslq64Y6yF0YGDvKQsZs4NUq5ZpEgpMWTRSSRAmQUkWQpMrEes2OMVFUFUUlKBx1ZKU8jsMlJo5FZgoUaa4/BIY31rFVFJhPSGGoDUayRkSGWtmO1QaGUQaKQUqNFA5WggJpIzJjNDlBmm7X1GUZppBDM8pzv/O5zHI9nvPPOLe7uvcPX/sQf49KlS0SR7Shx/fp1VlZWeOGFF1DKdp1eW1vzBmc8HnvqmYtiwgavw+GQuq65d+9e0+rpLIeHh56n7iCT2cz24ev2MtbWR94DyxfKe+eqtvP44ODAR0FZ1vFzebGwhuX27dvEsfWEt7e36fU7TCYTxuMxWZZw/fpVOxmffJQoiphOpxweWp2QtfVV7t69y+7uLovFgtFojSef/AE+8YlP8LnPf4qj8Qn/9t/+W6bTKcPVkZ8veaOGd3x8zPFkTBK1Ibjz+p2n7eacM8xlWVI1rctOTsZ+neWL0iuxhV6xE8l30YdzkkJ9knBthfSy0Mt2HrQ7Fic+1RrmUCf5QbEgB3E6+2I3D+OhK4e5A9TNmnHQX/v5tjTdHkfbjir8vdOUOff3JRtV/wFizMaYe8C95vlECPEacPFDPvIngf/NGFMA7wgh3gL+EPDMB31AwFKy4GGgf1hHb4ylZunmIplaLVVgOYMVes2hwXaLNAyrmvNbMuo+7AtCF6WU16bIsowssT30ispmncMW8EJGHksMsTS3WNxxLhYLbzCMMV7fQhIteQwhBdAdW1jy2x57hBAWi3SJCq1BqxYSiYTlgbel3Qlp0gEp0AqUsq27ZJIgIkldaeIstq9rjYwEAptsFVqRrUQQS+gIup2UTk+QpQZDia5rTNMVRqMxUmFMjVIVZVWQSkMaQxLBbDZh43xMVRW8/+67FEVBt9vlrbfe4us/+Z/yhS99hqS0ZdO9Xo8zZ86wv7/P7u4uX/ziF70A/srKCgcHB+zt7VEUBRsbG75Aw82tNE29JKpSivX19YY3PPEerZSS+XzG7u4ujz72yANJKimN5x3nC3ufHQbt5pzLKSwWrfxqUVhIqdvLvAe3vr7aYM1d23x12GN3d5etrS3G4zHf+c5zLBYL1tc2EELQ7/f5kR/5EaSUbG5ucrh3wJNPPsmv/uqv+qjAzeMkSTg8POT42FI5o8j4+Ro2YQ3naxRFzXEvUHXhBZvcfAsdJbfRuc85Dzx0rtwcLUtr0IUQfr2c7oju4Dr3WYfNO289hCndWgo3FA+DnMpPGdMWZYU2JpGJfy2KIs/KsBtOS3+DFtYMoRZnF0KOdQh9OVbKRx3fE8YshLgKfA54FvgK8F8KIX4S+A7Wqz7CGu1vBR+7w4cbcoAl8R83qR0U4GrsPb5kDPIUxixki3GFu+YHjYfhUe715ly94cQkS56sMG3RRrc/4Eyc0F8siNNGKyHr+GMolaY2mqJWvuAgDGuMMQyHQ1ZWVuh0el5rWQhBGmfkee7DycVi4QscnKfsjLxSbgLadjtKGVzXkapqNCGMlajM8wJqmzDriZgkiSlrDWWFFBEKgTIuKSIQdUQVacp8wWKRU+SKoqjBlCTRgtEg4dJWTDeRxBFEyZgshW6nYqW3IJE5aaQxVYlEYXSNNjXaVEDNyWROrSVnRqvcuHGD33v1ZV5//VWSVPD+7bs8/8J3+Tt/5+8QdTVVVZM02HEcx9y7d4/bt2/z1FNP+Y1rOBzyrW99i7t37/Loo4+yurrKcDj02hXOa8vznJdfftlzkO2CF1y/fp2qqpqGsDu48vTnnnuO6XTM9vY2ju/c743Y2tri3LlNrly5wmAwwBVJ1ZX2uhuiyTf0+21fyP6gi5S23RJAt5chRGsYVwY9dnZ27CbUHfAzP/MzNol4f5dIxs1c6XN8fIzWmueff4Wrj1xna+tC44mvWM+2yCmqEmPsBlwUFWl/uYTfhdzhOnBFM9PplKpccHJygms+KoQA49anLfZxuiNCtIJJjv2Q5zk7Ozt+TS1BhgE1L0zShjrX4dr8oPGwSDcKckP2NRMIHwXCVwRFMgAmrEoMHbtlqc/TIkkhFu5gG59HkB9uk8LxkQ2zEGIA/Arw14wxYyHEzwN/H1vm8/eBfwz8BcKysXY8cEWFEH8J+EsAw5XhktvvvGZ3Q8Ib6f4fBVKBQhvS7MGuJd8LpnPaUIffcfphgvDK7YLKiIAN0X6n+64oirxU59mzZ8ky28NwuDIiz/OGlZE9QLkJe7DNZjPvOTiv3W1mUUMPlJEAEmuUa0OpaiqtmuardpOotSaVTmkvWcK54zQFZUAJlLFiUlpDrqyBscnCxMIjStPPEob9lJVuTZZq0kiTdSuSGLK0JktyIlGSSU2lbCHK0nUXkKZDqlqwuXUJmaTcvv0eZ7fWqYqCw6N9ssyKFWkFglaM3EUfTgx/a2uLwWDAt7/9be7cucNwOOTcuXP0ej1PoYzjmN3dXQ4ODhpIIWZzc9M3Mh2PxxhjWCysoFC322Ww0vN0tTRNuXDhAltbW1y6dImrV6/brtVJh+l0GoTf1iPfOLPmF/ugP2Q2m7Gze49ynjObn5AkcWOQBYiaui69BvZ0csSFCxcYjdbQWnN0eEKSZAyHQ+IoIc8t3380GrG6uu7nmjNmp73HMOJyhTchrOY81SWKl2qLoiw+2wrdGy18EhXCTuDLhVF1XfvIDdqKOBe1xM2aP83GcNGd+9tpx0uIB+EEKZfhjPD8QsPpeezO02ZZ9sCtX2eYW7iiZYY5Qx5606c9eFcIVlVV02Dgo42PZJiFEAnWKP+iMeb/aA56J/j7PwN+rfnvHeBy8PFLwPbp7zTG/FPgnwJsbW6Z4HV/8dzkOo3ZKGXF2cOdsBULr5cM7AeN04Y4/P/D/hZebE9/qWtqDXlZL8EXfkOIYvqOTx2n5LNDi1M2oWNZlo3OQ6sJG0VRK3YvWlGh0WhEp9NhfX3dexawHGn4xIewlXoAsieRIqbXtQU1+aIgjhKSzJZYZ+mAOO3Q7Q+Io8RqSEcSbQQITdq1PFpNRV0qRBwhVRcpFNLkbK132TqbsrU+o5uVJHFJnBwiI00SaSIxBVMQA1HSaBkrhdKWPqSUoaiGFFWHSnfY3juhP1phNj/k7p132b5/m69+5Y+RxBnDUR8RaYpZ4UNaRzl74olP8t57t3n22Wep65qvfe1rjEYj+v2+x5D39/e5ffs23/zmN1ksFjz11FNcvXqV+XzOYrFgMpmwsmIpZv1+j7W1NcaTY986KssSPvGJy6ytjfx8295+n9u3LSXOwV6uI3Xd9L5zinE3b77F3t5e47VZCCuKDUkSESeStbXVZrOxRhMtuHz5MkVhE1YrA4udP/LIJ7l08TLGGM6d2yJJMpQyXL58BVVrsrRDlnYA4Q2iMTCbzZlOZ/RXVuj3bUJyMBgs9ftzHqtLlN29e5ejoyO0cjBD7FlTqm5ZCeFjZWXk3+M2D8fgCHU44jhmdXWVumpFpsKScMf399FpsLlarx3/3MFyYaMKsGwp91329baaL/QXhWjzWyGUYasNQyngB8XxHUzp7JRbs+4cfRXkH2QzVmHP4J8Drxlj/knw+vkGfwb4U8ArzfNfBX5JCPFPsMm/R4Fvf9hvuBvXnnwrTBSGAm53KooCiUBHtmpHNVCG48eGnMv/0BGGJ6eNvDvecAK7yePOw8gIoe3ilVFCQlsS7ZgBAALp+Z2nvXWH1TmKnStJXfodf4yt945oj9kZ+izrUtcaGjlV4mUxFq1t7zWE9AlLjKXeSRGTpAIhrAFSdY1EEgtJlsR00ogkqsniiiQpyXqKSBqiWIOq0apGKI0UNqutnGFWmrKqyIsuipTprEDNTugP+3z35gv0s4TRaIWrV69SVxXzec76mREmba/FuXPnWF1dZXv7Pq+++irj8ZjPf/7z/tpUVcX+/j7PPvsst2/fZnd3l6qq2Nzc5Pz58z6Edn3z8nzhPT1nWObzOS+99BLr66vs7Oywu3vfw0lO48UZkTwvG575suh8VSqGwxHnzp0hiqxz0et3ODzcRWvBZDIjimB9fZ2t8+cQQjAdz3jllVe4c+cO8/mC69dv0OsOODmZ8dabb7O+vs7TT1v+e6fTYX98SNbtMhqNePfddxmmrjdly3JylLwsi3zRVMj3dp6pW2suOhPETYFIy6CKZKuVHMIiIfzgogVnHEMJUimtoBNZ26DAdYgHPPZ+GlduPWce2BRCLzqMutv1pf26colBt+bcsL8RYtFhDmcZEHA2JqQChvYiZGn8fvBqOD6Kx/wV4M8BLwshXmhe+9vAnxVCfBa77bwL/OXm5L8rhPiXwKtYRsdfMR/CyHAH33oby7uQC3vCqpyQXqZUjdAGhNut6qXw5T9knPaiQwMWevTh94fcZiEEOkg0eo5zcL7u80arJajGhUVSSk6mJz677W58uFE4DP7ByddOtvncVSUmVFV7LZO0aUiqNKIh0FdCkUa2d1uYKBVCQLpMlo8jQEj63R79bkSWCbIU0tSQpoJYQhSDqmxRS11rjCXxoc0yMwVh1c5qDdPFDBEPWCxmnFnf4ktf+pIVXe8O6A0sXNCJW8/p7NmzCCF4++23SZKEa9eusba25o3Nyy+/zJ07d3jmmWc4Ojqi0+nwta99jZWVFZ8glFJ6Ifdz5855jvDh4SEvvvgiOzs7rK+vc+fOncZRaJkxziGI45hed0CWtZKXURQxn1uPMesknD17lkuXLjEY9JGR7Ud4cnJAXsx57713efPNm+wf7LK7t01RFBwfTphO5jz99NM8/fQXuXTpCkmccXw8ZT5b+PPc2dnh/v37zKdj1tOU4XDoIa+VlRULW5QFa2trFgLLMqaTPb8BnYYunAFNkoS1tTXLgJlPPJThG8yaFupw3q6LCJ04lPvuorDJQ2doXQVfXdd0st4p47rMhnLrKjRw9nuXoRo358PnD0FR/XDrLRzekPLBhjS0D65mJEyKhu8LKXpxmjzwXR80Pgor43d4OG786x/ymX8A/IOPehBKaYr5gipf2Hp20Rq/siwp8ynzWUm/3+f44IhMxtRNyOV2XhfSA5w7GyNr+3DfExybn3zha9BgwRqkMihjiKQE3ZaGz+a2TX3RJOSUUhyfHNhsvEzQRpKmHWTc85V+SRIRx4qiVOjaenB5qRhPj1lMZ83xV4yPraxjp9PBlDVGSjqd1NLWjEFKsFQfRVnmKGUXT1laTyftKJ+cxCcrBFnWpaysDi+RRCQR+WxClVvedxRL4si2ZpJJhNElYMXzjTFIbZBKoMoJqpbEsaSkQomKblfRWQPRq5HJBOKG2xzNIZJoaSjRVAJMXDeFKZqSRjbUZOhyharcBqWY7mxx7dqP8/IrHX7w8T/LD3zuOq/f+RU2zh4ziC8wyK4yH0N39cgvToc/X7t2lbW1NYQQvPjii2xvb/PKK6/wzLf+PY899hh/8ad/ik6nQ1nUDWvC3veNjbO2yq8xxjdvvsazzz7LZDJhNBpy4fwlPv0DT7G5dZZf+7Vf4+Bgj27XhqadTofjk31rlJtOOo4uprQCEdHpSurazs+T6XucvP4eTm+hk/VQyjTdsyXHR1ZF7umnn+bRz32S/+iP/ShXP3GNoiga7LvVOk5T24n9t37rt4ij1PLYI8jLik6vS5zaJPJ8PiOOIzKTsD+fkC8WlMWcSKZEIqUqNBLdGFVBXdbUtGI9+bzCKMmgv4YUmY8C3HpZW9vwEEMo/OOcJydr6hwMN5whV0pR1gVRIom0pKwLMmO1oY0AGcfUjfFPk45dZxqqSpEkVvulrq3TkiYCIyKUah0XV2Rlk5kuelC4SmHbEKIdgghVGyrddjevqiYRLmJfQek881ovV34arO6GlBKNscymOELGtujro46PReVfFFkj5OrVlSpQqsWWrMcnGq/Uds6I4wi7YwIYqqpEa5dhdhf+4bvlh4UUYfIhxJJDfNl1SA7V60KP1ylq2dp4twMrjKLFpgNRF8cV9b3+Go62qkq/6Tg4I89zjo6OlhKlUko2zp7zHksURaA1tbLHUjVtu1wSZjwek3UbfmZUo5Smk/WItO2X5zx+tziFqNCVZXoURUWRz0kGFhfNYkEa18SxIE6slxxF0nsrp6+lJ9xrW75d1zVSJBhqXv7utzlz7ov0B+f5xI0b1siTIUgbT8uWzvZ6Pb8YZjPbF240GvHWW29x584dXnzxRd544w2KouDv/t3/jihKGI1G3qD0ugNfUXpwcEhZFrz00ivcvHmT999/h/39/abib8Ta+giD4jd+4ze4c+d933ZqMjnxtDqjIV+0srDOSDk2gp3jEUVhqXz9fp+6EoxPDphNF/T7K2xtbnHt6ifp9Xr8yf/kT3HmzBkW8zlHx4eNx20b5mqtmU7nTU88y61+5MY1Ot2URdnykmez2VLRhzOEIVThiqVC7DeEIdxct5GqCvDc1jA7KCT8XIjxhrhryBF2EaaDKRx05xgfxpgG0liGN8PE3Ac/8O8J2Vyn4Qj7/2VVO3d93O+F0IQ2baTbRuyt4Xff6c63TTI6h/ADzc4D42NimCNWhn3AQhF1nVIriysXucWY01TT61p5wY6vpNL+Roqk1T0QiUBLjZYth/GjJASBD7z5oWEJ35emKao2xEnaGNa4xZwxSNl01pASRbsoHH4WGtPTk7msK298QwpRmOhznqOuFVpIVKSC422qnlQ7OXXtstM1IKlNDQ0PN9UguzHG2EShS5zY6yZpiE1III0kvU5MkpTEEchIN//WJJErCTcIoxH6way41la/Q2uLa9dqzs7eMW+8/R0uXPgMiILFwlAVMXWZEA0iEDVxGjeRQul1R5RS3Lp1i3v37rGzs8Prr7+OUoqvfvWrHlYwRlEUlj4ohGA6scUer7zyCtvb97h16xbj8Zj9/T0+97nPobXm0uULaK15882bHBzsNZVituzZ3QeHQbvjsYZz6u/LcDhkMBjQ6/WYzyyHeTopMMZi28OVVfq9EcOVDT7/+c9z6dIVNjbOcXR0jNGtOJaUkkU+pyqdfrJtkvupTz3BmTNnOD4+pKysl7e1tcX6+jqTycRLeUZRRK/Xa+lhzWth8s5hyqET4ihwZZkvwQ0PWyvQijq5R8jECD3mEJMOe+SFcJ6F+CK/zk9TYR+WA7KvLXf4btdwKPDfvF8LD4MCnnZ6aVnDeAAAIABJREFUeu1r3eq8hAyR09F4eA2cfXDvsyqXH218LAyzEDQesSBOukRRz3sc0+kcg6auDJ1ORpJkJFHLkXQ3q9vNvBFLksh6V5IHjCywNEE++JiWvWpXRODaDDkazHQ6ZbEoWBkmCBGRxBlGNMwQQWMYmqog3U5Ad0OllEvJQ2hLyp0n47DYNIpJZMRiOgOjvaGMZUS/31/CuZUQvmOKlBbKEMI2r93Q674jBZH9rf6gS7fTp6oURthoBOPEijSRiYmjCJkK0mGHs+sdts4kdNNdkmhGEs2JI42MNIIarRV1VVBXBaouqYrcSyq2G42yMIsG5JxL17o8+/wv87M/9Je59c4bGLOCqVeRZsUmiXTOYGR5u+PxmMlkwnPPPUdVVdy5c4fXX3+dXq/H3/t7f89HB+sbAwAfUm9v3+fnf/5/bn5fc//+fW6/f5fHH3+cr371K3z1j3yZOI7Z3r7D0dERzzzzDEWxYH19lcn0BID/+E/8KOfPn7eiSZ3+A41BlVL0ej1WV1e5cOFC2/2ksPS+d955j52dHd+F5MzGOaSUjEYjiqJifDKl1x0yntxhf+/QL/LZbNFsRnnDHOnz6U9/mvl8aueYsMfx+OOP8af/9J/mG9/4Bltbm94jdf0TneiTqxFwHi8sdwkJvUHXVSXMaZw2YO4RFquE3nBYiu1waueYuM+FnndVVXS7SdtyTbbVv85uhMPT7XTQSDnoF1pWhaf+ueN33+ESgW3RVtvIwios1o3UaFuJ7M4r3MjcNbEwW3bqWnx0ffiPiWEWjSF11XtgZSwtrmovgBM6YgnDOp2oO/389Pj9vObQowsnW5ZlLHJ7M0IowxV+xEmHbjfHaEHdYLwiClo4GeVpbi7k1VXLNAk94jCREHrrbqG4hR6Gn45F4L0fZQueTd0K9YQLzgiQQkJtqLSmLkvqxOK1Aok2drJiFDRcZl0r6qoik4YshU4H4rgmiirbTioCIRVGaXRdLS1sYwy6Vhh3LrXx59rJVijKPavmVpZEyYLNrbO8/15OJHoI02mEmCo6mfHKfDs7O2xvb3uu8te//nUef/xxv3g3Njbo9m2S6vnnn+ett95iZ2fHUxVv3XqLxaLgy1/5QX7iz3ydjY0N9vbv8c4777C9vd20kZp6FkHWsZHKW2+9xRtv3MQYw6ee/CyDgTX+jsfrdDqiyHZO7zaRXrdjC4muXr3CI49cQ8q2T2BbNi45OTlid7egKA94+eWXPSPn5utvcnx8zNmzm1y7do1HH/0kt2/fRikr9/rEk59umCU5ly9f5pFHHmE+n3nv3V0XNydD5yN0FMKkdkvLLP1cDB2b096qg+bc2nSJQcdgcnPWVbn2ej3kqeSeG6Fx11oTR8sCQiEDY9lzf7BDSQhLWrW/uoleW9gmFLSyhVotDzqEQMJridAeutONhrTVabaSB3VlIT0hBVp8nwnle4OKpq5LosguAFumWdPplOSLylfFKWW9UdNoP7hRuUmgreFxlTYhxeb0pDqNXbmwqVatgphVopp7L94tvvl8zng8tcIuUQejjxDimLRr9QN0MyH6fVtuanS9ZICLpipMSsloZchisbCehG4SCVqzvr5OnCQUWhNJyWI+xzSTqGrOIzeWdUFmtamjNPHnqZSyzVsjizELA2gr52mc8VU1i3zWHEtEf7AKSqFNm3A0ClRdUeYzhiPDIFMkoiCLZ2RJTictiRNtK/uqEqNqqEuoKrSprMYGCqXtNbTl4Raj29+bMB7D6gasn005OHqfNB1RVjkrKxtsrK9jzAxDzXi6y/Fhzr1793j11Vf54R/+YS5fvoxSim9961u40mpnBH7327/L22+/zXe+8x1eeOEF3n33fX7u536O69ev81M/9RdsYu1kymuvvcY777zDweEedV1zcLDHbDZrFNxsCfjbt96k0+nwR//oH2VtbY0kSbzwUNjdxGk9u3sbClEBHtddWVnhscceY29vj6qqODw89KJKURQxm47pdDrcunWLw8NDfvLP/RRPPfUURVHx0ksv8Tu/89t85jOf9Trhd+7c4erVq97z/Ct/5S/xt/7Wf8vGxgaz2Wwp+pJScnJy4ttVebZOwI93x+xgiNNyvMYYTzN0GHJRFKRpZ+mzbh6GesxuU47jmE5TRh9qZWitPRfa/ab7jqyJUIRotZCTpJXJddrs9rPWYBpjC2KcLIGde1anPMThndcbesPGiCapvgzhWFZOK2vgNrwwKg4x85Bw8PuNj4dhxilACaJYeqyu5RuewnwUYKxx0aLFfFXdJAMD/u0f2DGa5Z5kDt90hr2FHmzLJpdYsJO+UdRqSrn39/eZTCYU84WvWhutDL02gwv5pBBMJhP/e0Vh2907+g20sEycZA0W34SlkcT1ZVssbCcJGUnLNMGKESlNIwwPWW6xxKpU1Mpg5Uqh16ts+W8vQ5saTEUsQMqSWNRE5EiTgykRBoypQNUYVfvSa4JEbos1N92mlUaKjCyF6aSkKiPPD45j6dXRtLasE61gf/8Ox8fHbGxs8Pjjj6O1ZjKZNKXRlgPskqRvv/02N2/e5LvffY0f+qEf5h/+wx8FLPa7WCx4+aXvsr+/z4svvsj9+ztEMbz77rs+FDVGce7cOa5de4Sf/dmfZWtri7fefoPbt29zdHTE66+/6YWS3Dk66p173oazis3NTba2tpCyj5Tw0svPLXHSDYqqrqiVxaB/7/d+j6tXr/LjP/7jXLx4kcPDQ0ajNW7cuMFgYCsJXd7CtawKk46u07hSym/8LsR2EJqbS86wOsNpjPHaHnEsvZFtMdM2QeaodzYqzPzroVEPE97uuZ2XbXGVu25tNWLsHSsXKZ/Gdd11Dw2fjwa8EV1mYbljX6bnxWitmqSpDArcGucxgELdZ6RRREikEN5zbhOJAhO3mH5Zfr9BGdgafiFMQw9z8nraA/bO2MEy4O7CFrtj2c/brr0RUn7w6Z2GPh72N/e62w1DnVk3EU+XfEppkP7GGOpKU0a26CBLY099Go/HVHnhMbYwsdgS+KUP+VyIOpvNfOuhcGL1eysoIalEoM7VcE7nU6s7a1vnWDpXbZomspX9zTTpIEREVWvyxYyqttc8SRKUVNTzClNXqHKGrgWm0rbFkCkRlAjTVEihENq2MEJpjDfKyicebUISqiYpaJQgiRNOjiqKQtPvrTIZK7KsS68fo02FMIY4SqiwPfN6vR4XL160lLXjY4wxXL58mfPnz/L++9veIL/40nO8/fbb/M2/+bf5whe+wP7+Pot5wc79PXZ2djg6OqYoSkajVTY2znDx4gXOnTvnDehgxQrj53nO4eE+7777Lr/2f/46t27d4ujoiCjK/MZsy+czzp3b8mXgo9GI4XDIcDhkNOrz0ksv8dxzz5FmFi9dXV1tKHCpN6I7O/eskppJ+MynP8tnPvMZHn30UaIoaQxsQb+/wqOPjrhz5w51pVjMc8pKs7e3x9WrV5BSsr9/wtmzZ7l///6S0ZJSeoGh0z0RYVnwqzXcrQEPob7pdOq9QrcOBoNl3WTAbwynCzLKskQ3cJzDkkNv2gkIaa1RUvm/2+9d1mRujSJL59oei2saID1EahtEhKwq15uvVYwL4R1vkJv3R6JNoLrfc/i5u3bOMH8v42NhmI2xAu5CCKgVUoLSlpdsNAhs+aUgsemuyHbSMA5+MJpINmWUUjYdnZvHB/7msuENb25omN2kDT/nsu5pmpLnFUYL8kWJFAuSRDFctYtVxu0NEyJiMpkwnU59SAetHkaIw9Hr23BUNBNCCGpVMZ/OONw/OJX4lMRBRluYACevLf+6KAqSLGU6tbDLeDxGUVqepW5YMaMRWmckUeQ9H5DkDQNEKI1QJaicNOnSSSs6UUUsC2JRIkRl84VGWaNsFJgKYTRGK4RxEqF2g9PK8k+rqiKf5hxNKgQ9jvYqOuk50iQiGg6Isxxl5nTTEWUu2L0/I8sy1tbWuHjxIpPJhP39fa5fvw7AycmMf/Wv/hWvvfYaURTx1//6zzWYfsGr373JeDxmZWVEVWnOn7/EozeepKoqOp0Og8GAWpXs7u7y3e9+l+eff4npdMxsNmuodO+xvr7OX/1r/xWf//znOX/+PKurI7S2CnK3b9/2Yj3uGk6nU+bzuX3MCr7+n/0k/8XP/FW2t7c5Oj7g3/27f8fdu7c5OZ6xWNyh0+nwxJNPMBqN+MSlG2htN9fxeM7Vq1dRtQ2PV1ZWqCrF1mbbDGC2sL9z//59HnnkEd577z0+97nP8Y1vfIOiKNjf3/fl6W6OeIpmw3JK03RJU+P4+JjJZEKez72EJ7SYtJMUcMbZwijpkied5zkHBwcNX1swGAz8+4uioD8Y+CpE62G39Qdx3FIPs7RssPpOAxe04kahoxLm9oWxUISUjknhuhq5PE0IYxrS1FUaLic00zT1Ykvh+otPMb+c5x4W65y2Nx9lfCwMM4CqTaPx0Ox4RlBXirrW9lFp6kRb1gBJA86HuqsPPuCjiRg9LPEQPg+TJ670NkxuOIOaJBVCuIkQeeF6o5fpPe67Klr9Wmfow3JUt6tD67mEhTThcS7hXvby2ee6Kc0W7fE6+h7gOc5ogzY1UePp+3M3YJRGiRyhaqSqiEgR1AgUEoUw1iuWTSl4pK3ikF8w+kH1LU/layKP2RTSLCWWPRYzMNpm4xFTpLTeSlVpirxmMBhw8eJFRqMRBwcHTS/IHvfv77Ozs8Pe3h7D4ZBPfvKT2LZAhqpSrK+fscprd+9z/Zo1erPZgm7XGqejoxOm0zG/8iu/4juWzOa2Wu3q1ev8xE/8BE8//TSf/vQP8P777/Od332ON958nYODA+8lOSPsmDvOg8rznNmk5s033rWsAKE5e/YsK4NVfuBTZ5BSECfWQLqKPpAcHx9z5swZ1tfXrc5JHFNViu3t+0wmE6LIRlxVVXHx8oXGWbAFUP1+nyyzc2o6nXJ8fOwxZDcPHdfZzWsHXbjocDweN1oh1tsNmzOEnzfGNPBTzMrKyDskLsqbTqdLBtQZrxC6cGwR5wVbzL6FTRxceNqpOk2jc6/bBeL+39ICQ2peuMYAv1E52pwztHEce8McMjHiyGnp2J8yGCJpbZgRIAgqgfX3oWGua0vLEtJ4nLYocl/SWBQKIRaAIIodHc6FH3hvLIoabqKRHqz/XkdoqMMbLqXFPFdWVnwiwpUGwzKjQ0oJxqBUi6k54wQ8MJHcCCea0S3U4j4fEvLdCCdKmNzUDYOF3MIWkuUNAgiacjZQilGIRrM2ioRvuVPXJUYrpMrRJkFridI2qad1bVkYzTUQTTWUrh3EY99jYQuHHxq/0ag6RStYzGvOrF/D6IQosnQuE9VEcaMyVidEssP6eoetrS3fOMBW7lmB+rt37zaG9CpPPPEEOzt79Ho9m1w7OPatm1ynkrpWdBq2RRwnJEnGH/7DX2FjY4PLly/6suZev8O5cyOOjqb883/+v7C7u0td1+zu7nByctIkefs+6ehYO0opj+UOV7Y42B8TxcIXmVy79ggXLtjmrgZFUSw4ODhgPivIF0dc/cQ11tfXG8+zZDi0Wt17ewdUVcVoNOL4aOyTjK6M2uU/oE02OsPqZHRDKlcIPYR4sKOIOgP2MOPnoDYHuznjF84zZ9CdF+kSlL1ej7qBNUK40H1vOF8f5iyFj4dBGQ//jO3ubf+/vGa8pGlQ7Cxlk7h7iD05vUm46xfCnzTrwug/2A4m/58PpTXH0ylRZG/ovFDOhHAyWTCbzaiLEkNFnMDCKAaDIcfjMWnSIY4T38JGool6CTrRFCwQYrQ0SdzuHk7IcEgpMSwL6WMkWWY5vpiIfm+VssrJsh5GdxBkpFnXf3enYye/Mpr5PAcE00kBxnByvGB8YhdNLNpecaurq6ys2JZEWaNjcTQZ22Sd0uT5nDKfo4ocLQQiTUm6HbJOioytdx7FAhnZ62k9kJJFOUNGNXk1Ia9y8uKEyXRCktmS7KpSpKml15XzkiyLqKsSKSRZ3CFShqpU6CxBUCKjgrijEckUJXKUnqKNwsiIStcoXVJXPbQuqVGoqKAkp6pqjJGoOkIvelAbolqTVoI6mTDqdLh7L+OLT3+NeRmTrfRQskQkXZROiOoIoWoGHdjaOs/x8QlVVbG2ts7RkS3Rfu+993n//dsMBis89tgnOXduk537B74PXtZJiGIbru7u3mU4GpDPT5gtFCsrts3TaG2Dq9EmeZ7z/p03McYa/MPDQws/HB3xwgsvEEURa2truIq4NE3Z27/XdFJuqVcXLlxgc+sMZ86c4Q998Susrq4Sx7HVcu73efHFFzFGs8jnvPrqqywWC7a2tuh2u1y5/AmfCLVCVAmTyQn9fp/RqO8rDNfW+zzyyCMYWbG9fZtPfvIGr7/+OsPhELBe6/a9O8xmJ/QHCWVZNEZ+SFEs/Lx1xSShUc/zue887zBiFx10Oh3G47H3mqW0Jdg6tg0R6rqi04nJFzWRqekkMUpCljQKiEC3mxCLNb+JSR2Btg6F7ZFnFSPnxQIRS2QqyGRTBSpTXIVvklrNbIMGWu94US0aWBGkFghNk8jUSCAiQhjhHRRprBxB1HjCtbb9EXWtSBLpDb/9fduFO0wUCmFwncQtBFM3jlNEWf8Bqsv9/zHcybrwRSnVkMQVs9nM9vqq6obAn2NS13q8gqTjd0u7Q2mqqkCpdImP+bDxUZN/zmP1+GiQcHDhlRtOSjGKIsq6YjKxWfLJZALGFj24QoQsTlhfXyeKoge6SICdnFIIy2wIjs2VwTpvPUpir/IVx7GvqBNCkORJUAhj2wN1Oh2ipldZt2sx7rNnz5IkGVWlKPKqKZcuWSwabz0yJJEhS1LSRBJJiKANQcsCI1RTem4pcm0EYVtU2ecCbdrkkFIVaQaVMmgEFy5cYrFYMOyNUDRFN9r+lhC2RZZjpTjvS0pJUZTeiF27do0LFy40spqCbjrwOiRKVTzzzP9DkiTcu3+Xvb2dxrt1zUZtOymHtRZF4YXov/GNbzAcDrly5QqTyYSTkxMGgwHT6RytpxarXxkxGo24ePEim5ubXL16lWvXrnHu3Dm0Ety8eZObN2+S5znj8ZhHH32U27dvc+/ePQ4PD1lbW2MwGDBocNfhcOir98bjMQDT6ZQzZ84gpeTw8JDLl60E6Pb2NqPRGs8++yxxbEWTZrMZFy5c4JXvvuSLbJy3HFabhjizgxccq8R5zY71E173kN7n1qDzkrXWGOTS90dR1FYXxnbt1IX1mJ10p0sMWmpq2wHk9Jp0DlZ4Du5vbo2GRIFw3cZxbA1zc9ySB6NXZ5ugjUo/zJac/r3wb+6af9TxsTDMSqkGL2t2OiEA7avtZrMZqDb0UqVlDEynUzAxxrTMCafHfDppd3r8fkb5dJFJCBWEfOgoalq+NwpybnK799iuxk0WWlcNLtdgVQgfWrrv01r7pKZPNEQxcgSREBSLvNUsSBPiNCVKlruGI9qqpZDiB3bjGI1GIN0mILwYfxzHvvJJiAqa40uSBJUUdJKUfseQpoZYWjqcUbZ1VF3XCGnhqFrlFhoxla041MLT4xyEobShNjVK52gNnWyI0ZLNc+dZIDEGpIwxRmK0fR7HhiQxXtTeMQo6nY5vYOqgDUctPHPmnKdZ3blzhzfeeJ27d+/YeTWfEMdtR400TdnY2PC49/b2Nq+//jrj8ZidnR1+9Ed/lBs3btDr9Tg8POTk5ISbN2+yvr7OYDBga2uLtbU1Ll++7PMFZ89akaQ7d+7w+mtvMpvN+IVf+AWSJOGzn/0sR0dHzGY2IfvYY49x6dIlRqOR3Rxiy3V2Xb8/9alPMZ/PuXXrFrPZjIODAzqdjp9jR0cnaA1PPP4prl9/hLfffps8z7l+/Trj8ZjBoNM0b12QL5TPa7h154xfKO7u8OEw0nRz0zMTolYP3GPObu3Qai87w+QLxJIGrqrxBjvEwHVdUwqW6KFuOAMYOjNLa8gss0LCY/b4dnAO0ncmaY1xSAQI4RkHcZ62G6HNOG1Pvi9ZGVorZtOx/39IWJ/NZpycnNgLEUkqrRCpzd5Op3Pms9Jnc51BtBPsw2U/H+YVu+ch39a95iaq00aoaqtjMJvZwoDVtTWSxGJ309mESMbIOKLTSYnjprO2rhr+qE3OoFpMz/FP4zgm6tis9mg0QgqBqRVSQ1UUPjnojslUVdMFpC2tdZKjcRxz5cqVJiRTHB4eemwU2uRPkiREsc1m2+4TMVFpyfhpaje3/igiS0o6saGX5qSR7XYdyxppckxVgGy45T7xpzA6QSuBqq0XrrRCiQVagokqdALzcYfdA8WFS09w6ROPMa4uMpmVxN0MpWsMlaVTJgKtJYvKdhapa9tGamdnh1u3bvGv//W/BuCrX/0q/X6ffr9PHFs2yi/+4i+SJBFXr17l+PgEKQVJnLF/sOvph24Ora2tsbGxwfr6On/jb/wNNjY2qOuab3/729y7d48LFy7w5JNPWl3jtLdk0KbTKXt7exwdjqmqin/zf/8mt27dQkrJj/3Yj9Hv9/nN3/xN3nzzTX7pl36Jk5MTLl++zJe+9CVu3LjhIZI4jlFNGHz27Flu3brFv/gX/4L19XXOnz/PG2+8QZqmfPnLX/aG8/z58/zgD/4gr736Bs8//zxnzpxhOp3y2GOPYbRtMTYZz1gZ9kkTWwJ+9uxZ78C4ZgGhYVpZWcGJvTtD7ipY+/0+m5ubXuYTGgmCrhVLqvKCWFhGT6cRkvL6zpEkzmxfRV02CT4pvHNhAKX6FJXF7FOV0u90yeLEdy8KE3FuuGN0azpkRbj3R8JG3CL4jBTNBh0vVxKGEax77pwd932ncWz3b+jIhRvHRxkfC8McRxGjlb6tzGnoQVpriGQj6p35JEyn06GWkk7WwfUw63a6TKc2lIyToLpPfPRd6mE7YQjquwkTZnYBsgzSNPY95aqqIs1cqyD3Pitl6jxZh18jNJ1OZylxE5aaLxYLGz0oTRUkk1xFFKduvN+xWU7M2A7e7cZlPWInImNZE1VeUIvSeqpCIbQmiWKyxE68NKpIpfVYuwl0U0E3iZFUYCq0qiz7QrqqQoNWBqNBK4GuWhEZRA3SgAEZw2B4mdk7x3z5jzyNGKxhDu191QoMAqMjFAaj23M8OTmxGOJiwYsvvui7XN+4cYNOp+Mpidvb9z3eeuXKJZIkYTAYcO3aVevlv+EoW9bQrwxGPPXUU17nWWvN9t371HXNGzffslzprYtkaYdet4+TnCzLkpOTEw4PD//f9s40RrLruu+/e+/bau1t2DM9w+FwOCEljiiJpqnNMo1AImhrSaTAm6AokZAAAZwESBDHiQ0DgRMgHxwgCwIIMaKEspTFcmLHsOEghhbKmxBSIukRV3Gb4Syc6em9u7ZXb7k3H+69r163ZkhK1ky3kTpATVdX11SdunXveef8zzn/U8358w7FBz/4Qd7+9rdz1113sbCwwOc+9zm++tWvAvDJT36STqfD4uIi3W632rubm5tk6ZhLly7x9NNPs7Kywgc+8AFOnDjBmTNnmJmZ4eTJk5XxOXv2LFEj4I//6E+55563u3034T1+61vfyuraFYJAMjvXJc/swNp2u70reTc/P0+r1aocEaXsNHKPmfu9G8dxRX1aTyj68k+tNYGQRCpAIcjCMY0oJkkSgjgCOfHW40ZSOUIe3rDnR6BGoyoK9ZGdZFIhNTm3nuR/t3GsQyD1foN6Et7+pHqdvTag/ty9zpyH5faKqJ11//++FzkQhjkMQ249ulR96Mxtdo/H+i4mH54jJWFkw/dms0uz2bSJDuFDiZJxltIok+9Zl/rVsn7F86QvWmtMu402thRqvbA4Y9KICJTdULOzXYyx7ZpxnFSbAuOxPWsMinHGzEy3yuhXI+9Dl72Oo8owl0lOHIZk6XiyIQUEUUSUxHS77QqOMGKyVuPCNhJIpZiZ6dBuN11TQDJpZFGKVrOJMYZGw0+SVhWHbpqmHFlMSMKCJApZmNumGWeEUtOIHLanFGWZu5mCqSN8UZRZQD7WpCObGMyKlELbFI2RUCro7yzyK//iV5k7/k5WLq5RqhipGgRhhEGhVUEoAnJToIqCVtxiZ2eHpaUlvvGNb3DmzBk+9alP8dGPfpQsy1hfX68M49bWBqdOnawMj5SSBx54gF6v54a13sXc3Fw1qbzZtPzeFy9epCgsl8mFCxfIsoyHHnqo6s7s9/tcuXKFNLU8zisrK0RRxOHDh7ntttspy5Lbb7+D+fn5ynB/9rOfZW1tjePHj/OJT3yCpaUlTp06ZRPewyHnzp1jedleSPI8Z9Drs7S0xH333cfc3BxPPfUU586d4+Mf/ziLi4uUZcmZM2e4ePEirVaL+999P0IIvvWtJysju7i4yNbWFj/7s5/gN770RYwx9AdbNJvtCkf3jsfMjB2Z1XR7IU3Tqnmn7rT4CeIzMzOV0+SJnKyDoVAEmDCg2+6QtWxVTCgtw10QBGgBgYc/VOKYGB1cINQuzzQs7bmKGw3rTBiqvT5hpgtchCyqSNnrXDfMtgrIVUjVDKydlWnZLf1jHtLyDo3Wu71vkNVrefvk/+Y9+r3jtN6sHAjDLKUgDl3huucsdlhkNkody1QDkMRxAxPaxbZ41IQzdjzOUG6BbcH6ZPhhvc53L4zhF9IYw3BoLwY+CemL231NalWuJoXzJLLJawldhVFBYOfmjcfphJpUTPA5awQbuza9v/kkSYldC8Wk+cQzhAVBAFKg/X0mCRahJl702FGHerJx72ElifWatbZtsTOzHTC+awnKsmA8Nq7MqqDIc1SsCAODoEBSIGSOkCVSOUpwYyiznDEZStqhrnleIEWARNAbDlGRJM1gfmGGlbVtVNimPwyZO3on452U7swCm30IkxBdGlRgD6DOcoQwxHHI1mC7+iz9fp/Tp09XJE6rq6uEYcja2lpFt5llNjE4OzuLMYZuFeoqAAAgAElEQVQrV65SFAXLyyv8yI/8CBsbGzSbbVZXVynLgtnZWXq9niMMuqWa2WaMqWqWl5eXLYVnf1R5c3fccQedTmfXxd1XLjz99NNsbm4yOzvLvffeW9VhJ0nCyspKxSPt93qn0+HI4mFmZ2dJkqSqzX7ve9/LO+99GxfOX+bSpUs88cQTvPTSS/z8z/88WmvW163Hfvvtt3NoYZGNzbVqf2xv91hYmMNoUTHL+cQiTEY57R3NVt+b3thALXFWq0c2xqCYnEHjpmrHQYgwEDgYQipJFIZIpdBFiRSCKAiRgXVKclcqKmrvH0hFoILKYNvkdaNW4japzxZC7OqarXvOPmEZqsl8Tf/5jdiNFfv3qhvcOqRR/9x1+MNXzPhhtb4D8M3KgTDMGNsKIoREhhDqEClLoiKqhSzCloFpjXD1hN4YQD0ZAVLtxomuJ99LiFEnH4I9o86ZXFmVKmBo4YIgsnWxvskg8l10e/AnnxiZ1GW7DqIotMU/YpKw8LcwtMNUkZIoiV3Swodklm/WbhZHqxpIglARJxFCQhzYC0hZSgJpcTcEJLGtIfdhaRiGBEoQqZIwFMRRQKgMQmqEKQgDhVQlGottyzBCaVtup6EijbGb2JbzJYlkNNZAk/U1w9vu+VGQLQpdgpBoJk0oQgQE0iaDjSnJS5tA9Rs+iqKqlMvzjvjvyDfTeAPi25CNMdWYKQ8hFblGyZDxOCNNx2htCMOIpaWjFIWdlLOwsMBoNOKJJ55ge9vmRO68804WFxdZWFjAGFNxmfhcx+OPP16xEd5zzz287W1v453vfKeD5UL+4A++wqVLlypst9PpVJ5op9Xmlltu4cKFC0RRxE//9E8D8PJLr7Kzs8Pq6ipPPPEEp06d4pZbbuE7L36H5eWr3HnnnXQ7s4xGI9qtLlluuZRnZ2dd5UhnFzRX9yw9bLC33t5DYP4Wx3Zadz234UmclKe5xbjyNVNhu2FoHYqq3lgYgtAnzv2U6wAhSgotCUONKAoQctd58V4+7G7cgt0Rbz2BX3e09pbQ+hZshEFIy1NjDCBqXrCydc/Yd7H/mkkddL3YoD6k4Fp/fyM5EIZZCohcpQKuzbIs7OLvuIaAUk8ysfbqkwGRxUNFjpS2Hdh+qbaj5/XEb8Q6Flv3HOoZXa01w+GQft+S1RRZThBK5zHZkfVxOnQbtOVGQtkNPkoHhMHEONdv0oAKJgX99UJ5KWVVNlgywcfqV16Pw8EktJNSUprd5Xw2uWETM967K8a+ptt6on7sjd3AntxGYIzdYElD0kgkUSyIYkEcC0IRIANHaajBSGVxfRGQF5BnmvHYetFFNqQsNKUApWbo9SKUXOSOk/fwkb/yc+g8ATVGqJgkkcRJgBABo6GdM9doJMhmjNYFr11Oq+YHj8+ORiMajQbdriX28axn9Ux/mqYUhWZhYYEoTLjvh+63HA5DC0d0u7NEsR2IOjMzw2g0sgT3wyEbGxt87WtfI89zFhcXec973sPCwgJBELC6usrLL79IGIauRO42O1vPhbFeB9+Q9Nxzz3HlypUqsd1oNFhaWuLYsWO0222OHz9Op9PBlJpmK2J97W4GgwGPPPIIzz77LM899xzPP/88SZLw8MMPV3vw+PHbOHr0GGdfucDa6ka1J7rdLrfeehtvuetuLl46T7drL8qez8OfA78HPQWp1rrCjuuDW2FSReHhrnqOIwrc8AchiVWA0KbylKvSUimQ7sKQhPY1ZeicMC0oTej0cpOyS/ca7G7gqDtmPiqtP+YTuv6CXW/U2nX2vS2qnUF/9uuvX507L3rCA103vL6Tcped+4sGZSAEgZDYzmVt+XzN7hFMnktDa40WJVpbwyVFXr2MrzaYQBXXr8qofyl7H/8ugN99sZ7hLR2OkMoe9J3eFnlWosKg2sQWCyvx/IOW7rIkz4qqWy3LMhSCMLJXbn8o7OdwPzG27IhJfajfBPWNUw+3tNaWO0Sp3Z+ldt9vtjqk4z9vHMeu4sRu8DDyHqf/HjJAEwSKIAgx0g+ZlRiMmw6usARUEjsNpbRL4fbpaFhQFF3KMubBD34ILZoYoQjjgFKDkCUIY2Egz22gNEbb+miwa+8nckxgLWtsPMWl1tagC8c5YlnVLAWnrTiJePHFl9ne3iZNx9ZI9dLqO/KEUcPhkDRNWVpaYnFxkR/+4R+m2WyyurrKn/zJH7O5uUmn0+HBBx+k2WxWCTVjDDMzXaLIDsK1BEVX+fa3v81wOKx4mg8dOlQl8yzB/gyBG2T7ysvn6ff7nD17locffpi1tTWWl5d53/vexyc/+UkGgwFXrlxhZmaGw0tHGI3GVULZd7jlec7Vq1cZjUauDjnf1X2310Hx58CXIioX8vsLjPeMvfNQ30/1Kgb/HsbljIo8RwprkIWQKGwexk8QEVpj5G6qBYWgFJM+B8806fd+XV8vdX3qcEw92lRKoWplrxJf4TGBaOrGf2/lh5f62u1NEtYJjPaW0b2RHAjDLLA2TBhDaYQ71I5GME9dhthe6fK8wA9rBUuU47P99ko66bV/vYWowxh7jdPe/1c3aD5bTTFpVx2NRlWWeTQaUWhoNBo0Wk0aDVtjOhqNQIuK3GY8HlveZUUVBoKbtqsdHqZsW3co1S4oxZfMCTGpF83yFIQmMDb553k6ytK+rhTKRRG2qSPAQRkGy6dRagwlkhChjT8aBEIShyFSpYBjh2MyyNKeIwnYcidRKpSKyLMCoz3JvrYhqrR8AoNhSZFLRmPBsdvvY7sHzU6AUpI8S9FC28GtWtBqJoShHflTuDr1JEno9Xq7PDopJb2eHWjrGyH8utv2eT8lBorcRg39fp+1tTWGQ5v5H4/HGHIGg5G7ACpmZ+dpt+2cvxMnTlQ8zOfOneOZZ55hbX2FpaUl20Ry+FAFD/g8QZbbi/fm5iZf++ofkqYpJ0+eRGvN1tYWd99tR0N1u12OHDmEELCx0bNc31vbfPnLX+bRRx/l/Pnzdlp4s8kXv/hF7r77bnq9HpcuXWIwsEN9/TosLCwwHNpz02p1eO21i1xZfo3t7W2iOHQR0rXPRr1BYlLBs7u92Hus9ZFQ9XOltaMxRWKMa90vNWi7XwIZIrEt6H7orzEGgUaVbncZg3E5GWnsHB1vlL1nujdftNdA1nM3/vPsMsxC7DLM9u+2ssNDFsZYciMp62tTq3PeYy++1yTf9eRgGGbhSHakbZu0lQWiCgfDMGScFfjPX68zLtEIUVYZZssW9cYNJvZ9vxtjruNSXupepu/S8xUg3hj7L99PW07TlMFoSJIMqxl1cZhUjQG9Xo9QKuLENXZk48ojaSZRZZgFEKkAnRUMej1GA0uSY7v37DoFUUips0nJnfPe69Mq4nDCYKe1RphJaWKWZRhndLe3tynLyVzBmZkZQvd6YaKIlG05TvOUohwRxzmIknFekDvCKSPs0NbhMGPYS0mHPbQYM8wsf0eRK9bWU4wJIF8gzQRqDELmjIuCVqvBaJjT7c4w6uesre2Qphu0mjGtdszRo4dRSrG9vV0NR82yzFVZ3FkNtrVGxeN90uHLgk674Wp2BywuHmY4HKKkJcNXYciRI0fcfL+QW2+9tSIEeu6553jkkUd4+umnOXr0KO9+97v54IM/Ws3109qy+V28eJmNjQ2uXLnC9vZ2VXGTZRmDwYClpSXuvfdeGo2AjY0eZWk7XH/3d/83q6urPP7441y+fJnRYFjt9aWlJT7zmc9w/Phx1tbWeOyxxxgMBrzlLW+pHITt7R7NZrNqKpFS8vnPf56NjTUaTYsJX7x0nvn52YonetJKbPeGb+jy3XbD4bAaDuE95TRNq/1+rQR2qx1YCK4oyPQI7QY0NJPJc6kRWxl3oSi93VPWCO+qM5aTvNHATWXxXvSupHztouPhhbqh9O8vpW9k23326w0odY+7/n/rxt6XS9ahjHqE7fXyOag3KwfCMNvBn6G9Sjp8VBiDLjJ0YSszKDRSKQa9lO5cYsMgBGEoAYMwGdIUSCMxeeFuuz3nOka016P2B0CanABjiVVKez8GWnFAJiWFtqQ8ZVmSqIBIKSKlEJQoGaKUIAokgQSpS4b9XhXyjZIhW6MNeqNtxnlKL8tYkLMUmWWBUwZUaQgICJWilA7rNobReMRW3/I4t1otCmmI8BifQKoIIUNUEBOqmDLX5OMCJRKkkMgigSxD5AUNFWPykmE2JM9GBLGgdHSqZSkpc0WZaQQp3UaA1II4GBEEa8hgBRUN0KVABU1EWYLZJtQDKCQmVRRsofLCEh6VOVJpBimgYHUNjOpydS1nYaGJNiVJIsnHhjhqE+oWMhckKkeagtW1l8mynE5rEaMT+juKMCgrzxgsrOEx283NTYqi4NKlSxw+fNjN0bMwRbttp2Pv7OygTUkQGhpNSRjZ0VVREiFETBQFBIGk2UxI06GrH8/55jcfZTQa8elP/w2OHj1Ko9FgcXHRGrDBiKeeeqqCGrxhv/3EnVy+fJlXz53j2K2L/PhPfIDTp0+zs7PD5pU+Tz75JMPhkNXVVV555ZWqCSiKIpKmhTre9a53ce+99xKGAZeXL7O1vYGUkrm5Oa6svFZh6e1W19V229yHje7GJI2Ifn+H9Y0hjUbIcLRDoJJdzRHe4A6Hw4pQ3yfKfFJwa2urwqCNseWs8/PzVWVDUdhoRipcKZpBBQollPNIqW4+ckvzFKktpYCKrDGMlaIUtvEsjASjfloZN5uotVU2UkQYnZFnGl36UU81UiIDAROmQ2U0AYZSGCQ+QW6fKpTCCI0Ult7TuChcinAyEcVXirjQzxggAJMXE8jDsTGORiPKdEwYRUhjkN8DgREcEMMMPkywV9CizMgzG7aWZb4LVxVidyKs3n+epmnVy1+vcIDvnQ+VinB/gjVlRe6y9qNdnYH2ajnJZkdxo7rapmNrPLIsY7iVVoNEPfPaeDxmptOt8D7hsvm5yTFikujb2tqquHF9p6O/svvEjCfTidwECXtY9C7PwUcEpbEYZLvdIYglyMAxrSX0RgMwOYEyGDKKfATlEFOMKOlTFinG2GA0N300fTQZRS7I84idfo90lDMaGvo7miw39EaQF5AWsL61Q7t9nG89fgYZRaS9IYFqgEtyXrmyzmC4jVQlUWwrFZIowWiF1rC8vAxQcXxcuXKF5eVlGo0G29vbLC0tVV7fxYsXq6YSnyPwjUD+MPkklsWkG7uwa2+khsMhDz30EFEUMRgMOHfu3C6yH7++7XabQ4cOORihxfvf/35mZppsbvZ55Otf4etf/yN++7d/p4pOfPldr2fhiyiKOH36tO3ie8/76XQ61XO8dxqF9vvf2NhgcXERgO3tbX7hF34BIQSf+czf4pVXXuHw4cNkWcaFi+dpNhPyImVlZQMhDc1Gdxe/MsDGxoZLcvcrr3IwGFTUCDAx4K1Wi7m5OdbX1yuM/8iRIwRBUHVSSoSFI0pNIBVFZstOY2OjvUhNWqjzPCdz0V2apuSFd6oE/eGw8mD3nuO9pXz1m/XCd8Ma9QaxvTCHz0vUIRH/Xt7Yf1f+qZZo11pjtKkYFL0NKMuSMi9s1dGblANjmD1xah0s951u1ghOvFyf3faGps7rC7sBef/79yUeZ5Ki6nSyOk0yvX7TKodpCiFotjq7EhVVCOSw3LIsKQtbGzwYDGg1bAG+cthk4aY2IE2VnClLjeVJFozHGVLaKQuNhr3yi0DZmwoRwaQUSgR+YwUEGCJHjxqikIVClCVBIDBSYBwrl6FECI1UIJVByIJAaQJZIGSJCgyy1AgBRZmjKcnLjDyTZKlhMC4ZZ4ZRVjAcS4pckY5KRrlmOIatnQI57NMfjjA6Z3FxiUHfT6WwAzpVYAgjSdJwYWoRokvL7YGwU0uyLGNubo6ZmRlOnTpVTYfxTQxpmlZldZ4j2eOi8/PzVSt8WZbVhU04CG1vSHvkyBE2NjZYW1urjOT8/Hw1+iuK7ASSMAw5deoU7bYtdfvGN77B+fPnHbRxuTJ+4/GYzc1NwjCk3+8zMzPDhz/0UY4fP87dd9/N7Owsly69xmAwcN2vEb1erzoPHlv/sye/zYULF1heXqbdbvPAAw8wNzfH2bNnSZKE48eP8/IrL1IUGel4wPb2hmXZk3HVNOX3bZ072e4ZS5I0GAwqbNfnQ3yuxNfV+3NmvWx7P5AKKeyel7g6ZY/p+soHM7nvjWhZ2unp1omgavTxhvRaUKOXvdUTe21BvVzVG2r/uL1/bVuxqxLjOqK1tt2vekL/6yPxovgLaJiNMVXtp/QtlWIyjddQkucGpO2bL4yu8C4fRvkF2IsbXyvBt/fL2qWL/m7cSQhBHNlQWEpb9zsa2cO13dtBqaDSVVAjE3KjbyyWW5CXdjPrYpLpFUJMkoFiwmRltKY0JUJZjCorckqjbQ2okshAocKAMLadf1IEKOl5hT2pUYjWY2vM3OsGKkJQknTajLMRMisQgbBhnLKz/mw1i62MsPCMsbP9GCPJkFisVhtVeQ2jbEyaCtKRYqc3IhsbRgNDrxeSZ4adgWKQajZ7sDPM6Q9XaCQzjLMRgcodLmyN4exsh6JMSMcDlPIeqSQKE5QSlNri/IPBgJWVlYrHwePNzaYdhlsUBa1Wq6Kz9JzEQRBUkcctt9xS4Yg+4vCG2a+jbzBaWlri6NGj37U/fCWGJ/0JgoCzZ8/y7LPPkmUZR48e5dSpUzz//POMRiOuXr1aNb0cO3aM06dPV4RHgEtKrruRVqPqYM/OzlaJ3xdffJELFy7w5JNPYoyh1Wrxsz/zKd7ylrewtrbhWO9s881j3/y/NUimZDjMUdJGCP6zAvR6vYowaIKhFhWsIYSoGlJ81YrnyfCscEVRYLTF9KUMkEiQGqVCoqRRRYZKhQgVYooJE12pJ5VXni4zz8vK4aozz+2tdHgzkbE/y94z9o/VbYUQ3517upat2GtPjLEGmVLbafIOBhKm1uDy5vtLDoZh1lo7rgub+BsMbZnSTr/H5uamxQ1zCCIbegWxrCgZfZLLM4olSVKVN/ks8rWqLK5nmLUAjcQIZacPqAApA7KyIC8dN3MjQQaKKEk4KgTNZguhQra3txmNRmxt7VTZ7NE4ry4843zEsG9xUOH0KDOLm23ubNN0WGilo5oMYfUDP8vSzk7z3o7fAD5JmiQJSdKsjH4YxnYdjEuOYCs88qEg1wKCBBUIcp0DBYFSJI2Assgp9ZDS5Iigjck3KcQ6Uq+T5wadSwqRUpqUcTFgo7fDaAiDvmBnW5ONYTSE7U1IU8H6ZkSaxfT7GTsjQ5rDyTsWuXj5PHfedRuNZkgcWX6MPIc0zQiCiDzvu8EHGbYKR6ICeyjb7TZgDdmxY8dIU9tlefSoNXDnzl2qPNnbbrutgiv6/X7lSfsa3fn5WZTyWXjLU12WZRXC9/t9C0HpCb+JEIKVlRXAGvV+v0+v19s1iSOO46pe+O33/FBF/uOTQr6ELYoiDh06RJIk1cSTza0VlpeXee2111heXub8+Qsuybdd5Rp+8id/hnvuuYcTJ04wGo5ZWVmh05lhOBwyOzvL9vYmr776KkWRIZWFbaSiSqx7T1RrXTHy+fPhDXBZlnS7XbefrIfd6XSqeu96s08YhmiMLUVTltvYlDZB7c+EUJNoRGMQ3lPWE2pM730PhyMGo9GuKCaKA4Q0lDqn1JajBaFRxuad6oT29YQcTBJ83hHcBXuUJX6klP8/dSjDJ/DqOarCaIyfZVkUmKIkH9sk73iUEnqoSBuyYlLa+0ZyIAyzFLbrRwjLPZymQ4bDUVUtYFsvY+KGDVFlOCke92GVzx77wu46b7KXN/KW94p3no3ATb1wnoOeEJT4MfTzhxareX5BZDdRWRhW1tcqTttCW88rcB11YRgyPzNb1bMGseuqSib8GlIojM4oC1t7a7Sg3erSadup2p32jPUYnRctA1uVYRWXlSfiXy8vC7I8B2EneodRAxUFqHxkp/iWtkbZaEe4rzMoM5TMgByBZeUySAyKPB/bqc5FQZYbxoWiP4RxCsMh7PRzRiPY3pHkpSIrm2xu7xA3EjY3t3nt8gX+0l05o1FqoQodEAR+hFeGVAFBHBCoJtqNn88LN9G7mk0IV69epdPpsLCwwM6OJd05fPgwzWZIUdSTTtDptFDKXgBsh6Ok1xtU+KqvckjTtLrY1js0vYGvEsaurOy2226roI9Go1FNQ/cVJMdvncdP7fCvf/jw4YqDpdfrsbq6ygsvvMD6+jrrG8s8//zzdLtdyrLk3LlzzoAv8p73vI93vOMdPPDAA/T7fVauWoil3W4zGAyYn59nYWEBKaHb7dozNbKjqLozbTu30cE3MCmBO3ToUHVWvIftDarvZvPQz8zMDLOzswghKnjRRxjG2AYTIaTFXF2FkJQStKDQmogJA5x9vqigO0/J4M+q95DrUGe9LHYv9lu3LdeSa+HVvqqjjjHX37M+XcX/vcRgfIVYWVK6PemjYK0mfM9/IRtMOp2ODTldaBhFEa2iTV5Clpc27C1yV4kxmS7iD8VwaMvSZmZmKha6esLLhzD1MKYeDk0W3BfmW3YyKTyP7KQvP00jjEveSRHQbpWEbiR8UWjSbExZGFTky29CjBE0Gw2GSULjyBGbfQ6svlrbbjSP4XkPxEhBEIZ0opDZvsUzG40GM/OWTD1JEpJWk2anTRw3Ki+oLG2FyARHs59hOBwRRTFKBZiiQalzMjdSSrtW1ty4UUBxiFIJYZihTU5RpgRqTBgJN0kmwpSWSMkITVYYcg1loclza/SyDHojGI1ysrxJlods74xoNeeRgWCca1566QXe935bOWC0Jk4U/V5W1WHXCWCkFOTGNor4i7Lf7B5T9gNvPQ9Eq9WqMFPfxDMYDCpDu7OzgzGmmnIyHA6raKzdbpNlmZ3KoTVHjx6tPHBvgOuJRF9bPRwOK+96fn6+YmHrdg7R6/XY2NgijmOOHr0VpRSrq6usra3x6KOPMh6POXfunEuCD1hdXeX8+fM0m03uv/9+18jyEIcOHUKgeOE7LwFUJEQer47jmM3NTWZmZvjIRz7CF77weRYPHyLP7aCEyA2YqM/Ym5ubq+r0vWfpjXPl4bqz02q1qvmAVeLaGe1GqwHalk7KQBHIwPYnIDFIkriJDG29fRBESEcBIGsG0Xu6ftqLMaY600lj0hbuv9MoiqrzXI8Civy7SYY8J4ivNvGPCSHI86yyDXUqYf+YXxdvsLXrzvU5MeN+5nnu2uotlJZEMfo6+PW15EAYZikFjWZsm0yEwCgoS8N2b8d1mAWEoUILP3dvgiv7q3idJ9Z/Qd+PmOpmN5GHNprtFkEWUubFrjDYe+hRo1lt6qa2kyLiOObQ4Ummetjf4OrVq5VX5j2rbrfL0VuPVQel02q7Gumk8la63dkK07NDNuMqYeHnEHrD7HFua5iVC61DwnCyeY1oUZQZRRkjlKEsrFdudEGaSIQYoYIRc50xSUOCOA/KNfU43gqD7QQs84IiA51DURjKokU2TukPStIxCNVg7pZjBMEch4uINMtRQUm7E1LmY86e+w7t1i0IkxAGbfJMkCSRq/G243rCyBLmGxOgdeEgm4Q0TatxTh4THgysQUtTOxJpPB7T7XYrb9UnbX3o7b+DiivY4f5RFHHu3Lnq4uDHQtV5FrzH7gcQeC4KmGCTHnv+xp8+xurqKmfOnKHf7xOGYdU+3m63K4L8EyeOMzs7y1tPn+TUHXeysLBAHMesra3T7w9pt7oWrhuPOXTocAVD+D3vm07iOObkyffy4IMPcuXKa7zw4nMsLs4jFXQ781VFjzGmqk32reM+Ybq+vo6UsuK39hfLEydOVJBOndQoSRJKaS9USgjbuelet0qwKYlwNfpIaXFoQNSiElUaF1XGjB3G7A2zCoz73uy4rSgKiSLPLmebqIRrevLfw1440+PWdWP9epG0jwLqhllrjW/m9q8vhKg6P0MV0HawVRxGjPM3P1pKfN8VCz9AEUKsAgNgbb91qckhpvq8kRw0nab6vLEcNJ3+f9PnhDHmljd60oEwzABCiMeNMffvtx5epvq8sRw0nab6vLEcNJ2m+lxb/vxN3VOZylSmMpUfqEwN81SmMpWpHDA5SIb5P+63Antkqs8by0HTaarPG8tB02mqzzXkwGDMU5nKVKYyFSsHyWOeylSmMpWpcAAMsxDiJ4QQLwghXhZC/OI+6fCqEOJpIcQZIcTj7rF5IcRXhBAvuZ9zN1iHh4UQK0KIZ2qPXVMHYeXfuzV7Sghx303S51eEEK+5dTojhPhw7W+/5PR5QQjx4zdAn+NCiK8LIZ4XQjwrhPgH7vH9XKPr6bQv6ySESIQQ3xRCfNvp88/d4yeFEI+5NfpNIUTkHo/d7y+7v99+k/T5dSHEudr63Osev+HfWU03JYT4MyHE77vf92WNrivXJOO4STdAAa8AdwAR8G3g9D7o8SpwaM9j/wr4RXf/F4FfvcE6/BhwH/DMG+kAfBj4P9hRCu8FHrtJ+vwK8I+v8dzT7ruLgZPuO1U/YH2WgPvc/Q7wonvf/Vyj6+m0L+vkPmvb3Q+Bx9xn/x/AJ9zjvwb8nLv/d4Ffc/c/AfzmD3h9rqfPrwM/dY3n3/DvrPZe/wj478Dvu9/3ZY2ud9tvj/ndwMvGmLPGmAz4EvCxfdbJy8eAL7j7XwA+fiPfzBjzx8DGm9ThY8AXjZVHgVkhxNJN0Od68jHgS8aYsTHmHPAy9rv9QepzxRjzpLvfA54HjrG/a3Q9na4nN3Sd3Gftu19DdzPAB4Dfco/vXSO/dr8FfFCIN0kk8+fT53pyw78zACHErcBHgP/kfhfs0xpdT/bbMB8DLtZ+v8Trb+wbJQb4shDiCSHE33GPHTbGXAF7AIHFfdDrejrs57r9fRdmPlyDd26qPi6c/CGsB3Yg1miPTrBP6+RC9DPACvAVrFe+ZYzxI5vr71np4/6+DQP+hu4AAAK/SURBVCzcSH2MMX59/qVbn38rhIj36nMNXX+Q8u+Af4Lv2bafed/W6Fqy34b5Wlee/SgTeb8x5j7gQ8DfE0L82D7o8L3Ifq3bfwBOAfcCV4B/fbP1EUK0gd8G/qExZuf1nrqPOu3bOhljSmPMvcCtWG/87td5z5uujxDiHuCXgLcC7wLmgX96s/QRQnwUWDHGPFF/+HXed1/O2n4b5kvA8drvtwKXb7YSxpjL7ucK8DvYDX3Vh1Hu58rN1ut1dNiXdTPGXHUHTQOfYxKG3xR9hBAh1gD+N2PM/3IP7+saXUun/V4np8MW8IdYrHZWCOEJy+rvWenj/j7Dm4evvl99fsJBQMYYMwY+z81dn/cDf1UI8SoWOv0A1oPe9zWqy34b5m8Bd7qMaIQF13/vZioghGgJITr+PvAQ8IzT49PuaZ8Gfvdm6uXkejr8HvA3XRb7vcC2D+dvpOzB+/4adp28Pp9wGeyTwJ3AN3/A7y2A/ww8b4z5N7U/7dsaXU+n/VonIcQtQohZd78BPIjFvb8O/JR72t418mv3U8AjxmW5bqA+36ldSAUWy62vzw39zowxv2SMudUYczvW3jxijPnr7NMavZ6i+3rDZmJfxGJhv7wP738HNlP+beBZrwMWR/oa8JL7OX+D9fgNbNibY6/Sf/t6OmDDq8+6NXsauP8m6fNf3Ps9hd2wS7Xn/7LT5wXgQzdAnx/FhpBPAWfc7cP7vEbX02lf1gl4B/Bn7n2fAf5ZbY9/E5ts/J9A7B5P3O8vu7/fcZP0ecStzzPAf2VSuXHDv7M9+v1lJlUZ+7JG17tNO/+mMpWpTOWAyX5DGVOZylSmMpU9MjXMU5nKVKZywGRqmKcylalM5YDJ1DBPZSpTmcoBk6lhnspUpjKVAyZTwzyVqUxlKgdMpoZ5KlOZylQOmEwN81SmMpWpHDD5f/AF+miISCbcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You look like a ...Dachshund\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test10.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hey,human!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You look like a ...Dachshund\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test11.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**注意: 当你写完了所有的代码，并且回答了所有的问题。你就可以把你的 iPython Notebook 导出成 HTML 文件。你可以在菜单栏，这样导出File -> Download as -> HTML (.html)把这个 HTML 和这个 iPython notebook 一起做为你的作业提交。**"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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